JACIII Vol.16 No.1 pp. 169-173
doi: 10.20965/jaciii.2012.p0169


On Entropy Based Fuzzy Non Metric Model – Proposal, Kernelization and Pairwise Constraints –

Yasunori Endo

Faculty of Engineering, Information and Systems, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan

January 15, 2011
October 3, 2011
January 20, 2012
clustering, fuzzy non metric model, entropy regularization, kernel, pairwise constraint
The fuzzy non metric model is a kind of clustering method in which belongingness or the membership grade of each datum to each cluster is calculated directly from dissimilarities between data, and cluster centers are not used. In this paper, we first construct a new fuzzy non metric model with entropy regularization. Second, we kernelize the proposed method by introducing kernel functions. Third, we consider pairwise constraints with the proposed method. We then confirm the above methods through some simple numerical examples.
Cite this article as:
Y. Endo, “On Entropy Based Fuzzy Non Metric Model – Proposal, Kernelization and Pairwise Constraints –,” J. Adv. Comput. Intell. Intell. Inform., Vol.16 No.1, pp. 169-173, 2012.
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