Fuzzy c-Means and Mixture Distribution Model for Clustering Based on L1-Space

Authors:
Takatsugu Koga;Sadaaki Miyamoto;Osamu Takata
Affiliations:
-;-;-
Venue:
Proceedings of the Joint JSAI 2001 Workshop on New Frontiers in Artificial Intelligence
Year:
2001

Citing 3
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Abstract

This paper aims at proposing and comparing two fuzzy models and a statistical model for clustering based on L1-space. Clustering methods in the fuzzy models are the standard fuzzy c-means and an entropy regularization method based on L1-space. Furthermore, we add new variables to them for improving the cluster division. In the statistical model, a mixture distribution model based on L1-space is proposed and the EM algorithm is applied.