Using logical decision trees for clustering | Zendy

Luc De Raedt | Zendy; Hendrik Blockeel | Zendy

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Using logical decision trees for clustering

Author(s) -

Luc De Raedt,

Hendrik Blockeel

Publication year - 1997

Publication title -

lecture notes in computer science

Language(s) - English

Resource type - Book series

SCImago Journal Rank - 0.249

H-Index - 400

eISSN - 1611-3349

pISSN - 0302-9743

ISBN - 3-540-63514-9

DOI - 10.1007/3540635149_41

Subject(s) - computer science , cluster analysis , formalism (music) , conceptual clustering , decision tree , artificial intelligence , data mining , theoretical computer science , fuzzy clustering , canopy clustering algorithm , art , musical , visual arts

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.status: publishe

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