Dear all,
I would like to know how to solve this problem I have using scikit-learn.
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.
Thanks a lot in advance for the help and hints!
*Luca Cerone*
Tel: +34 692 06 71 28
Skype: luca.cerone
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