2013/12/5 Luca Cerone <[email protected]>: > I have a dataset made of N elements each which m features. Each item is > either > labelled as A or as B. Are there ways using scikit-learn to have some > clustering > algorithm that forces the clusters to be A and B, and returns the set of > rules > that determine such clustering? As you have guessed I don't know much about > this > topic, so I don't even know what to search for in the documentation.
If you have the labels, you can always fit a classifier to the data and inspect that to see what it's learned. For exploratory work, decision trees are nice since they really learn a simple kind of rules. ------------------------------------------------------------------------------ Sponsored by Intel(R) XDK Develop, test and display web and hybrid apps with a single code base. Download it for free now! http://pubads.g.doubleclick.net/gampad/clk?id=111408631&iu=/4140/ostg.clktrk _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
