A robust clustering algorithm for interval data

Miin-Shen Yang,Wen-Liang Hung Wen-Liang Hung,Hsien-Chun Kuo Hsien-Chun Kuo

doi:10.1109/fuzz-ieee.2012.6251364

A robust clustering algorithm for interval data

Miin-Shen Yang, Wen-Liang Hung Wen-Liang Hung + Show 1 more

https://doi.org/10.1109/fuzz-ieee.2012.6251364

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Publication Date: Jun 1, 2012

Affiliation: Chung Yuan Christian University, National Hsinchu University of Education

#Proposed Clustering Algorithm #Interval Data + Show 8 more

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Abstract

In this paper we propose a robust clustering algorithm for interval data. The proposed method is based on similarity measure that is not necessary to specify a cluster number and initials. Several numerical examples demonstrate the effectiveness of the proposed robust clustering algorithm. We then apply this algorithm to the real data set with cities temperature interval data. The proposed clustering algorithm actually presents its robustness.

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