Fuzzy cluster analysis for probability density functions based on width criterion

Vo Van Tai * , Pham Toan Dinh and Nguyen Hoang Yen

* Corresponding author (vvtai@ctu.edu.vn)

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Received: 08 May 2017
Revised: 28 Jul 2017
Accepted: 31 Oct 2017
Published: 29 Nov 2017
DOI: 10.22144/ctu.jen.2017.047
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How to Cite
Vo, V. T., Pham, T. D., & Nguyen, H. Y. (2017). Fuzzy cluster analysis for probability density functions based on width criterion. CTU Journal of Innovation and Sustainable Development , (07), 37-44. https://doi.org/10.22144/ctu.jen.2017.047
Issue
No. 07 (2017)
Section
Natural Sciences

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Abstract

Based on the cluster width of probability density functions (WCD), we establish algorithms for fuzzy cluster analysis and for determining the suitable number of cluster. In addition, determining WCD for two and more than two probability density functions has been also considered by our Matlab produces. The numerical examples in both synthetic and real data are given not only to illustrate the reasonable of proposed algorithms and programs but also to show their advantages in comparing with existing ones.
Keywords: Clustering, density, distance, fuzzy, width

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