Using Logical Decision Trees for Clustering

Luc De Raedt, Hendrik Blockeel

Abstract: A novel first order clustering system, called C 0.5, is presented. It inherits its logical decision tree formalism from the TILDE system, but instead of using class information to guide the search, it employs the principles of instance based learning in order to perform clustering. Various experiments are discussed, which show the promise of the approach.