This is Matlab tutorial: k-means and hierarchical clustering. The main function in this tutorial is kmean, cluster, pdist and linkage. The code can be found in the tutorial section in http://www.eeprogrammer.com/. More engineering tutorial videos are available in eeprogrammer.com ======================== ✅ Visit our website http://www.eeprogrammer.com ✅ Subscribe for more free YouTube tutorial https://www.youtube.com/user/eeprogrammer?sub_confirmation=1 🔴 Watch my most recent upload: https://www.youtube.com/user/eeprogrammer 🔴 MATLAB tutorial - Machine Learning Clustering https://www.youtube.com/watch?v=oY_l4fFrg6s 🔴 MATLAB tutorial - Machine Learning Discriminant Analysis https://www.youtube.com/watch?v=MaxEODBNNEs 🔴 How to write a research paper in 4 steps with example https://www.youtube.com/watch?v=jntSd2mL_Pc 🔴 How to choose a research topic: https://www.youtube.com/watch?v=LP7xSLKLw5I ✅ If your research or engineering projects are falling behind, EEprogrammer.com can help you get them back on track without exploding your budget.
Views: 146426 eeprogrammer
Kmean and Tree Clustering are introduced in this video. ======================== ✅ Visit our website http://www.eeprogrammer.com ✅ Subscribe for more free YouTube tutorial https://www.youtube.com/user/eeprogrammer?sub_confirmation=1 🔴 Watch my most recent upload: https://www.youtube.com/user/eeprogrammer 🔴 MATLAB tutorial - Machine Learning Clustering https://www.youtube.com/watch?v=oY_l4fFrg6s 🔴 MATLAB tutorial - Machine Learning Discriminant Analysis https://www.youtube.com/watch?v=MaxEODBNNEs 🔴 How to write a research paper in 4 steps with example https://www.youtube.com/watch?v=jntSd2mL_Pc 🔴 How to choose a research topic: https://www.youtube.com/watch?v=LP7xSLKLw5I ✅ If your research or engineering projects are falling behind, EEprogrammer.com can help you get them back on track without exploding your budget.
Views: 1373 eeprogrammer
This course focuses on data analytics and machine learning techniques in MATLAB using functionality within Statistics and Machine Learning Toolbox and Neural Network Toolbox. https://matlab4engineers.com/product/machine-learning/
Views: 1779 MATLAB For Engineers
Download a trial: https://goo.gl/PSa78r See what's new in the latest release of MATLAB and Simulink: https://goo.gl/3MdQK1 In this webinar you will learn how MATLAB Distributed Computing Server™ works with Parallel Computing Toolbox™ to speed up MATLAB applications by using cluster computing hardware. You will learn how minimal changes to your code and workflow will allow you to take advantage of hardware beyond your desktop. About the Presenter: Gerardo Hernandez holds a B.S in Physics from the University of Puerto Rico at Mayagüez and a M.S. in Applied Mathematics from the same institution. His area of research was the theory of distributions and inverse problems, in particular the identification of linear systems. In his master’s thesis “Identification of linear systems” Gerardo designed and implemented in MATLAB an, iterative, non-destructive method for retrieving the convolution kernel of linear systems. Gerardo also holds a M.S in mechanical engineering from WPI and is currently completing the requirements for a PhD in mathematical sciences at the same institution. In his dissertation "An adaptive, multiresolution agent-based model of glioblastoma multiforme", Gerardo designed and implemented in MATLAB a multiresolution Agent-based model of the evolution of Brain tumors, in particular Glioblastoma multiforme. His areas’ of interest include Numerical methods, in particular ODE and PDE solvers, Mathematical modeling, Dynamical systems and high performance computing, among others.
Views: 2033 MATLAB
Let's detect the intruder trying to break into our security system using a very popular ML technique called K-Means Clustering! This is an example of learning from data that has no labels (unsupervised) and we'll use some concepts that we've already learned about like computing the Euclidean distance and a loss function to do this. Code for this video: https://github.com/llSourcell/k_means_clustering Please Subscribe! And like. And comment. That's what keeps me going. More learning resources: http://www.kdnuggets.com/2016/12/datascience-introduction-k-means-clustering-tutorial.html http://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_ml/py_kmeans/py_kmeans_understanding/py_kmeans_understanding.html http://people.revoledu.com/kardi/tutorial/kMean/ https://home.deib.polimi.it/matteucc/Clustering/tutorial_html/kmeans.html http://mnemstudio.org/clustering-k-means-example-1.htm https://www.dezyre.com/data-science-in-r-programming-tutorial/k-means-clustering-techniques-tutorial http://scikit-learn.org/stable/tutorial/statistical_inference/unsupervised_learning.html Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hit the Join button above to sign up to become a member of my channel for access to exclusive content!
Views: 107064 Siraj Raval
Get a Free Trial: https://goo.gl/C2Y9A5 Get Pricing Info: https://goo.gl/kDvGHt Ready to Buy: https://goo.gl/vsIeA5 Cluster iris flowers based on petal and sepal size. For more videos, visit http://www.mathworks.com/products/neural-network/examples.html
Views: 18646 MATLAB
Data are frequently available in text file format. This tutorial reviews how to import data, create trends and custom calculations, and then export the data in text file format from MATLAB. Source code is available from http://apmonitor.com/che263/uploads/Main/matlab_data_analysis.zip
Views: 397668 APMonitor.com
MATLAB (matrix laboratory) is a multi-paradigm numerical computing environment and fourth-generation programming language developed by MathWorks. Although MATLAB is intended primarily for numerical computing, but by optional toolboxes, using the MuPAD symbolic engine, has access to symbolic computing capabilities too. One of these toolboxes is Neural Network toolbox. This toolbox is free, open source software for simulating models of brain and central nervous system, based on MATLAB computational platform. In these courses you will learn the general principles of Neural Network Toolbox designed in Matlab and you will be able to use this Toolbox efficiently as well. The list of contents is: Introduction – in this chapter the Neural Network Toolbox is Defined and introduced. An overview of neural network application is provided and the neural network training process for pattern recognition, function fitting and clustering data in demonstrated. Neuron models – A description of the neuron model is provided, including simple neurons, transfer functions, and vector inputs and single and multiple layers neurons are explained. The format of input data structures is very effective in the simulation results of both static and dynamic networks. So this effect is discussed in this chapter too. And finally the incremental and batch training rule is explained. Perceptron networks – In this chapter the perceptron architecture is shown and it is explained how to create a perceptron in Neural network toolbox. The perceptron learning rule and its training algorithm is discussed and finally the network/Data manager GUI is explained. Linear filters – in this chapter linear networks and linear system design function is discussed. The tapped delay lines and linear filters are discussed and at the end of the chapter LMS algorithm and linear classification algorithm used for linear filters are explained. Backpropagation networks – The architecture, simulation, and several high-performance backpropagation training algorithms of backpropagation networks are discussed in this chapter. Conclusion – in this chapter the memory and speed of different backpropagation training algorithms are illustrated. And at the end of the chapter all these algorithms are compared to help you select the best training algorithm for your problem in hand. Matlab Software Installation: You are required to install the Matlab Software on your machine, so you can start executing the codes, and examples we work during the course.
Views: 83 GeoEngineerings School
#SubScribeOurChannel k means clustering example #KMeanscClustering #ImagesSegmentation Subscribe Our Channel:https://www.youtube.com/c/ProgrammingTech676 HI welcome to programming tech in this tutorial we learn how to image segmentation using k-mean. computer vision tools Detect a tumor in brain using k-mean. Image segmentation is the classification of an image into different groups. Many researches have been done in the area of image segmentation using clustering. ... K -means clustering algorithm is an unsupervised algorithm and it is used to segment the interest area from the background. Source Code:https://programmingtech6.blogspot.com/p/k-mean-segmenation.html 3.Matlab Basic Tutorial Command Window Base Coding and Function. https://youtu.be/YHPULfu2ai0 4.Matlab Basic Tutorial video About Vector function and how use Matrix operation. https://youtu.be/i5sSbfgI3ow 5.Matlab Basic Tutorial video About Matrix Function and Operation. https://youtu.be/4XZG2RNhrcA 6.How to Connect Mobile Camera And Webcam with MATLAB/Laptop https://youtu.be/7th54GDufuY #7.How to plot a Graph in Matlab and Read Image show using Subploting Concept. https://youtu.be/IVFWeWzZjEw #8.How to Browse Images From Drive & HOW to apply Histogram/Equalize Histogram on Image In Matlab https://youtu.be/ZO6LVdoF4M8 #10. [Point Processing #2].How Power Law Transformation Implement On Image Using Matlab. https://youtu.be/3lw3snlDIoY #11 [POINT PROCESSING#3] How to Convert An Image To Negative Image Using For Loop in Matlab https://youtu.be/MDlKCh_e-WU #12:Extraction of Bit Planes and Merging of Bit Plane Slicing in Matlab code https://youtu.be/TSWYzxZX8EE #13.How to Install Toolboxes in Matlab and Why some Toolboxes are Not install. https://youtu.be/VYGHArawk5s 14.How to Detect Edges Using Sobel and Canny Edge Filters in Matlab. And Comparison Between Two. https://youtu.be/L6F8DgmV8Io #15 How to Detect Edges of an Image using Laplacian Filters in Matlab https://youtu.be/7aNi1m1uXxc #16 How Image Sharpening using Laplacian Filter | Matlab Code https://youtu.be/2t54KkjnV90 18. Matlab code For Smoothing filter in Digital image processing using Neighborhood https://youtu.be/1uXazxD-NaI FOR MORE Matlab Tutorial click on below link : Subscribe Our Channel:https://www.youtube.com/c/ProgrammingTech676 IF YOU like VIDEO PLEASE share video comment and SUBSCRIBE CHANEL to get latest video TUTORIAL notification. Thank you Tags: Matlab Tutorials Matlab Basic Tutorial Matlab advanced Tutorials Matlab Beginner Tutorial Digital image Processing Tutorial Filters Tutorials Mathworks Tutorials Programming Tutorial Thanks
Views: 7108 Programming Tech
=================================================== Get the code from here: https://gum.co/oosS =================================================== This code takes in data points written in form of matrix in txt file where each row represent one data point, then it preforms clustering using "Affininty Propagation" methode which has the advantage of not requiring number of clusters (classes), however the best clustering groups are automatically formed depending on points distribution. The code is implemented in Matlab and is very easy to use as shown in the video Contact me: email: [email protected] List of all my codes: https://gumroad.com/ahmedsaleh =================================================== Hire me directly on freelancer: https://www.freelancer.com/u/AhmedSobhiSaleh ===================================================
Views: 738 Ahmed Saleh
Hierarchical agglomerative clustering, or linkage clustering. Procedure, complexity analysis, and cluster dissimilarity measures including single linkage, complete linkage, and others.
Views: 81903 Alexander Ihler
Belajar Artificial intelligence matlab
Views: 2896 donal farindra
This playlist/video has been uploaded for Marketing purposes and contains only selective videos. For the entire video course and code, visit [http://bit.ly/2E4TL6x]. We will look at a couple of methods for grouping objects: hierarchical clustering and partitioning clustering. In the first method, clusters are constructed by recursively partitioning the instances in either a top-down or bottom-up fashion. The second one decomposes a dataset into a set of disjoint clusters. • Explore methods for grouping objects • Study Hierarchical clustering • Construct several partitions of the data using partition clustering For the latest Big Data and Business Intelligence video tutorials, please visit http://bit.ly/1HCjJik Find us on Facebook -- http://www.facebook.com/Packtvideo Follow us on Twitter - http://www.twitter.com/packtvideo
Views: 32 Packt Video
this video shows how to cluster spatial data in arcgis with matlab software
Views: 909 Rahmadya Trias
K-means sorts data based on averages. Dr Mike Pound explains how it works. Fire Pong in Detail: https://youtu.be/ZoZMMg1r_Oc Deep Dream: https://youtu.be/BsSmBPmPeYQ FPS & Digital Video: https://youtu.be/yniSnYtkrwQ Dr. Mike's Code: % This script is the one mentioned during the Computerphile Image % Segmentation video. I chose matlab because it's a popular tool for % quickly prototyping things. Matlab licenses are pricey, if you don't have % one (or, like me, work for an organisation that does) try Octave as a % good free alternative. This code should work in Octave too. % Load in an input image im = imread('C:\Path\Of\Input\Image.jpg'); % In matlab, K-means operates on a 2D array, where each sample is one row, % and the features are the columns. We can use the reshape function to turn % the image into this format, where each pixel is one row, and R,G and B % are the columns. We are turning a W,H,3 image into W*H,3 % We also cast to a double array, because K-means requires it in matlab imflat = double(reshape(im, size(im,1) * size(im,2), 3)); % I specify that initialisation shuold sample points at % random, rather than anything complex like kmeans++ initialisation. % Kmeans++ takes a long time if you are using 256 classes. % Perform k-means. This function returns the class IDs assigned to each % pixel, and in this case we also want the mean values for each class - % what colour is each class. This can take a long time if the value for K % is large, I've used the sampling start strategy to speed things up. % While KMeans is running, it will show you the iteration count, and the % number of pixels that have changed class since last iteration. This % number should get lower and lower, as the means settle on appropriate % values. For large K, it's unlikely that we will ever reach zero movement % (convergence) within 150 iterations. K = 3 [kIDs, kC] = kmeans(imflat, K, 'Display', 'iter', 'MaxIter', 150, 'Start', 'sample'); % Matlab can output paletted images, that is, grayscale images where the % colours are stored in a separate array. This array is kC, and kIDs are % the grayscale indices. colormap = kC / 256; % Scale 0-1, since this is what matlab wants % Reshape kIDs back into the original image shape imout = reshape(uint8(kIDs), size(im,1), size(im,2)); % Save file out, you need to subtract 1 from the image classes, since once % stored in the file the values should go from 0-255, not 1-256 like matlab % would do. imwrite(imout - 1, colormap, 'C:\Path\Of\Output\Image.png'); http://www.facebook.com/computerphile https://twitter.com/computer_phile This video was filmed and edited by Sean Riley. Computer Science at the University of Nottingham: http://bit.ly/nottscomputer Computerphile is a sister project to Brady Haran's Numberphile. More at http://www.bradyharan.com
Views: 185311 Computerphile
Competitive Learning Matlab Example • Divide a set of input patterns in 3 clusters that are inherent to the input data. • Unsupervised learning procedure (provided only with input vectors). • Unnormalised vectors→Euclidean distance (otherwise dot product). • Initial pattern, Three groups of 2D vectors, total 1000 vectors. • Initial random weights
Views: 1938 Georgios Karatzinis
In this tutorial, we introduce the two major types of clustering: Flat and Hierarchical. Then we explain the Dendrogram, a visualization of hierarchical clustering. ** Expand for some additional INFO and LINKS ** LINK TO SOME OTHER INTERESTING VIDEO OF OURS: https://www.youtube.com/watch?v=OOkcaJ0r8gc&t=26s LINK TO A USEFUL ARTICLE WE HAVE DONE: https://365datascience.com/numerical-data-histogram/ Follow us on YouTube: https://www.youtube.com/c/365DataScience Connect with us on our social media platforms: Website: https://bit.ly/2TrLiXb Facebook: https://www.facebook.com/365datascience Instagram: https://www.instagram.com/365datascience Twitter: https://twitter.com/365datascience LinkedIn: https://www.linkedin.com/company/365datascience/ Prepare yourself for a career in data science with our comprehensive program: https://bit.ly/2HnysSC Get in touch about the training at: [email protected] Comment, like, share, and subscribe! We will be happy to hear from you and will get back to you!
Views: 1942 365 Data Science
School project at the Brno University of Technology. The source code can be downloaded from: https://www.dropbox.com/s/7k1xvf4zul1tsmo/4%20-%20kMeans.zip?dl=0 Please be aware the GUI may not look exactly the same on your computer as it does in the video. If you're having issues with this, use the GUIDE tool in Matlab to adjust the GUI to your screen size.
Views: 2210 Luca Winter
Cluster Analysis This Cluster Analysis shows how to examine similarities and dissimilarities of observations or objects using cluster analysis in Statistics and Machine Learning Toolbox(TM). Data often fall naturally into groups, or clusters, of observations, where the characteristics of objects in the same cluster are similar and the characteristics of objects in different clusters are dissimilar.
Views: 311 pgembeddedsystems matlabprojects
This course focuses on data analytics and machine learning techniques in MATLAB using functionality within Statistics and Machine Learning Toolbox and Neural Network Toolbox. https://matlab4engineers.com/product/machine-learning/
Views: 2232 MATLAB For Engineers
Download this full matlab project with Source Code from www.matlabsproject.blogspot.in www.enggprojectworld.blogspot.in Contact: Mr. Roshan P. Helonde Mobile: +91-7276355704 WhatsApp: +91-7276355704 Email: [email protected]
Views: 219 Final Year Project
Full lecture: http://bit.ly/K-means How many clusters do we have in our data? The question turns out to be very tricky. We discuss using extrinsic factors (domain knowledge), intra-cluster distance, minimum description length (MDL) and methods based on the scree plot.
Views: 39480 Victor Lavrenko
. Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for "FAIR USE" for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favor of fair use. .
Views: 102101 Artificial Intelligence - All in One
This video is a part of an online course that provides a comprehensive introduction to practial machine learning methods using MATLAB. In addition to short engaging videos, the course contains interactive, in-browser MATLAB projects. Complete course is available here: http://bit.ly/2Djmuc3 Learn more about using MATLAB for machine learning: http://bit.ly/2O9Sujp Get a free product Trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLeSee What's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2018 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names maybe trademarks or registered trademarks of their respective holders.
Views: 632 MATLAB
The bare bones mechanics of k-means clustering in JMP
Views: 2698 Vishal Gupta
We're going to predict customer churn using a clustering technique called the Gaussian Mixture Model! This is a probability distribution that consists of multiple Gaussian distributions, very cool. I also have something important but unrelated to say in the beginning of the video. Code for this video: https://github.com/llSourcell/Gaussian_Mixture_Models Please Subscribe! And like. And comment. That's what keeps me going. More learning resources: http://yulearning.blogspot.nl/2014/11/einsteins-most-famous-equation-is-emc2.html http://web.iitd.ac.in/~sumeet/GMM_said_crv10_tutorial.pdf https://brilliant.org/wiki/gaussian-mixture-model/ http://www.vlfeat.org/overview/gmm.html http://www.informatica.uniroma2.it/upload/2009/IM/mixture-tutorial.pdf http://cs.nyu.edu/~dsontag/courses/ml12/slides/lecture21.pdf http://statweb.stanford.edu/~tibs/stat315a/LECTURES/em.pdf Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hit the Join button above to sign up to become a member of my channel for access to exclusive content!
Views: 75046 Siraj Raval
Introductory lecture on cluster analysis in ArcGIS 10.2 and instructions on obtaining tutorial data for GPH904 class at Salem State University You can download a copy of the tutorial data here: http://tinyurl.com/ovy86jy Interested in learning more from me? Salem State University offers a Bachelor of Science in Cartography and GIS. We also offer a graduate Certificate and a Master of Science in Geo-Information Science. Learn more at https://www.salemstate.edu/academics/colleges-and-schools/college-arts-and-sciences/geography
Views: 24402 Marcos Luna
Download this full matlab project with Source Code from www.matlabsproject.blogspot.in www.enggprojectworld.blogspot.in Contact: Mr. Roshan P. Helonde Mobile / WhatsApp: +91-7276355704 Email: [email protected]
Views: 53 Final Year Project
Try Machine Learning now: - Train a Machine Learning model right in your browser: http://bit.ly/2QCnU6X - Get a Free Machine Learning Trial: http://bit.ly/2QKxhBX Get an overview of unsupervised machine learning. Unsupervised Machine Learning looks for patterns in datasets that don’t have labeled responses. - MATLAB for Machine Learning: http://bit.ly/2QIDlum - Machine Learning with MATLAB eBook: http://bit.ly/2QBFiZO You’d use this technique when you want to explore your data but don’t yet have a specific goal, or you’re not sure what information the data contains. It’s also a good way to reduce the dimensionality of your data. Most unsupervised learning techniques are a form of cluster analysis. Clustering algorithms fall into two broad groups: Hard clustering, where each data point belongs to only one cluster Soft clustering, where each data point can belong to more than one cluster. This video uses examples to illustrate hard and soft clustering algorithms, and it shows why you’d want to use unsupervised machine learning to reduce the number of features in your dataset. Get a free product Trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See What's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2018 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names maybe trademarks or registered trademarks of their respective holders.
Views: 4152 MATLAB
Learn more what I do http://quantlabs.net/membership.htm
Views: 1196 Bryan Downing
Project Link : http://kasanpro.com/p/matlab/fuzzy-c-means-clustering-local-information-kernel-metric-image-segmentation , Title :Fuzzy C-Means Clustering with Local Information and Kernel Metric for Image Segmentation
Views: 1918 kasanpro
This video is going to be divided into 3 parts: • High level intuition of what K-Means is, what it does and the algorithm. • K-means in math notation • Code an image compressor. Code for image compression: https://github.com/ajhalthor/kmeans-image-compression FOLLOW ME : https://www.quora.com/profile/Ajay-Halthor If you like the video, hit that like button. For more content on AI, Machine Learning, Deep Learning and Data Sciences, SUBSCRIBE to my channel!
Views: 1757 CodeEmporium
Subscribe to our channel to get project Directly on your Email Contact: Mr. Roshan P. Helonde Mobile: +91-7276355704 WhatsApp: +91-7276355704 Email: [email protected] Download this full matlab project with Source Code from https://matlabsproject.blogspot.in https://enggprojectworld.blogspot.com https://matlabprojectcodes.blogspot.com
Views: 248 Roshan Helonde
ExcelR Learn R code for K means clustering using only two inputs; for ease in visualization; computing the ideal number of clusters; viewing the iterative process of clustering (giving and receiving clusters) as an animation Things you will learn in this video 1)How to calculate Distance Between Data Points 2)How to Calculate cluster center 3)k-mean clustering To buy eLearning course on DataScience click here https://goo.gl/oMiQMw To enroll for the virtual online course click here https://goo.gl/m4MYd8 To register for classroom training click here https://goo.gl/UyU2ve SUBSCRIBE HERE for more updates: https://goo.gl/WKNNPx For Data Science full complete course click here https://goo.gl/nVzSfz For Introduction to K-Mean Clustering click here https://goo.gl/PYqXRJ For K-Mean Clustering (part-1) Example click here https://goo.gl/vLt2Jb #ExcelRSolutions #KMeanClustering #Datapoints #datascience #datasciencetutorial #datascienceforbeginners #datasciencecourse ----- For More Information: Toll Free (IND) : 1800 212 2120 | +91 80080 09706 Malaysia: 60 11 3799 1378 USA: 001-844-392-3571 UK: 0044 203 514 6638 AUS: 006 128 520-3240 Email: [email protected] Web: www.excelr.com Connect with us: Facebook: https://www.facebook.com/ExcelR/ LinkedIn: https://www.linkedin.com/company/exce... Twitter: https://twitter.com/ExcelrS G+: https://plus.google.com/+ExcelRSolutions