Discriminative Clustering via Generative Feature Mapping

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Summary

This paper takes the advantages of both models of generative and discriminative clustering by coupling the two paradigms through feature mapping derived from linearizing Bayesian classifiers, and proposes the unified probabilistic framework.

Type
article
Published
2012-07-22
Cited by
4
References
29
Access
Open access

Keywords

Discriminative model, Cluster analysis, Generative grammar, Computer science, Artificial intelligence

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