2012/2/28 Nicholas Pilkington <[email protected]>: > Is there any easy was build up a decision tree for the purposes of > clustering instead of for classification/regression?
To me decision trees is intrinsically supervised algorithm. The split of node of the tree is computed by a entropy measure w.r.t. the target variable class distribution. How would you do that in an unsupervised clustering case? Do you have any reference in the literature that motivates this question? -- Olivier http://twitter.com/ogrisel - http://github.com/ogrisel ------------------------------------------------------------------------------ Keep Your Developer Skills Current with LearnDevNow! The most comprehensive online learning library for Microsoft developers is just $99.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3, Metro Style Apps, more. Free future releases when you subscribe now! http://p.sf.net/sfu/learndevnow-d2d _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
