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Archives du jour: lundi 13 mai 2013

Supervised vs. Unsupervised learning

Machine learning algorithms are described as either ‘supervised’ or ‘unsupervised’. The distinction is drawn from how the learner classifies data. In supervised algorithms, the classes are predetermined. These classes can be conceived of as a finite set, previously arrived at ...

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Categorical Clustering vs Topical Clustering

In this post, I will give you some useful references about these two types of clustering methods: categorical vs topical clustering. Categorical Clustering: ROCK algorithm http://rss.acs.unt.edu/Rdoc/library/cba/html/rockCluster.html http://en.wikibooks.org/wiki/Data_Mining_Algorithms_In_R/Clustering/RockCluster Topical Clustering: Sahimi (1996), Applying the Multiple Cause Mixture Model to Text Categorization, ...

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Cluster Analysis in R

R has an amazing variety of functions for cluster analysis. In this section, I will describe three of the many approaches: hierarchical agglomeration  partitioning, and model based. While there are no best solutions for the problem of determining the number of clusters to extract, several ...

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