Posts Tagged ‘ Clustering ’

Data Visualization and R Programming Books (Updated)

January 7, 2010
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Download "Getting Started with the Social Media Analytics Research Toolkit" (pdf, 1.25 megabytes) Download the Social Media Analytics Research Toolkit Download Code Like A Pirate - The #rstats Appliance from the SUSE Gallery Disclosure As you probably ...

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Machine Learning in R

September 10, 2009
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Revolutions blog recently posted a link to R code by Joshua Reich with self-contained examples of using machine learning techniques in R, including various clustering methods (k-means, nearest neighbor, and kernel), recursive partitioning (CART), principle components analysis, linear discriminant analysis, and support vector machines.  This post also links to some slides that go over the basics

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Hierarchical Clustering in R

June 16, 2009
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Hierarchical clustering is a technique for grouping samples/data points into categories and subcategories based on a similarity measure. Being the powerful statistical package it is, R has several routines for doing hierarchical clustering. The basic command for doing HC is hclust(d, method = "complete", members=NULL) Nearly all clustering approaches use a concept of distance. Data points

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