09 Jul '13, 8am


A naive Bayes classifier is a simple probabilistic classifier based on applying Bayes' theorem with strong (naive) independence assumptions. A more descriptive term for the underlying probability model would be "independent feature model". An overview of statistical classifiers is given in the article on Pattern recognition. (wikipedia) What is NaiveBayes http://en.wikipedia.org/wiki/Naive_bayes Source code and tutorial https://github.com/id774/naivebayes This version in Rubyforge http://rubyforge.org/frs/shownotes.php?release_id=47282 Rubygems https://rubygems.org/gems/naivebayes Blog entry (Japanese) http://blog.id774.net/post/ ChangeLog https://github.com/id774/naivebayes/blob/master/doc/ChangeLog

Full article: http://rubyforge.org/forum/forum.php?forum_id=41559



rubyforge.org 09 Jul '13, 8am

In data mining, k-means clustering is a method of cluster analysis which aims to partition n observations into k clusters ...