A redundancy-based measure of dissimilarity among probability distributions for hierarchical clustering criteria

We introduce novel dissimilarity into a probabilistic clustering task to properly measure dissimilarity among multiple clusters when each cluster is characterized by a subpopulation in the mixture model. This measure of dissimilarity is called redundancy-based dissimilarity among probability distrib...

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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on pattern analysis and machine intelligence. - 1998. - 30(2008), 1 vom: 13. Jan., Seite 76-88
1. Verfasser: Iwata, Kazunori (VerfasserIn)
Weitere Verfasser: Hayashi, Akira
Format: Aufsatz
Sprache:English
Veröffentlicht: 2008
Zugriff auf das übergeordnete Werk:IEEE transactions on pattern analysis and machine intelligence
Schlagworte:Journal Article Research Support, Non-U.S. Gov't