A Clustering Method Based on the Maximum Entropy Principle

Clustering is an unsupervised process to determine which unlabeled objects in a set share interesting properties. The objects are grouped into k subsets (clusters) whose elements optimize a proximity measure. Methods based on information theory have proven to be feasible alternatives. They are based...

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Détails bibliographiques
Auteurs principaux: Edwin Aldana-Bobadilla, Angel Kuri-Morales
Format: Article
Langue:English
Publié: MDPI AG 2015-01-01
Collection:Entropy
Sujets:
Accès en ligne:http://www.mdpi.com/1099-4300/17/1/151