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...
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1998. - 30(2008), 1 vom: 13. Jan., Seite 76-88 |
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| Format: | Article |
| Langue: | English |
| Publié: |
2008
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence |
| Sujets: | Journal Article Research Support, Non-U.S. Gov't |