Fuzzified Even-Sized Clustering Based on Optimization

Clustering is a method of data analysis without the use of supervised data. Even-sized clustering based on optimization (ECBO) is a clustering algorithm that focuses on cluster size with the constraints that cluster sizes must be the same. However, this constraints makes ECBO inconvenient to apply i...

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Vydáno v:Journal of advanced computational intelligence and intelligent informatics Ročník 22; číslo 4; s. 537 - 543
Hlavní autoři: Kitajima, Kei, Endo, Yasunori, Hamasuna, Yukihiro
Médium: Journal Article
Jazyk:angličtina
Vydáno: 20.07.2018
ISSN:1343-0130, 1883-8014
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Abstract Clustering is a method of data analysis without the use of supervised data. Even-sized clustering based on optimization (ECBO) is a clustering algorithm that focuses on cluster size with the constraints that cluster sizes must be the same. However, this constraints makes ECBO inconvenient to apply in cases where a certain margin of cluster size is allowed. It is believed that this issue can be overcome by applying a fuzzy clustering method. Fuzzy clustering can represent the membership of data to clusters more flexible. In this paper, we propose a new even-sized clustering algorithm based on fuzzy clustering and verify its effectiveness through numerical examples.
AbstractList Clustering is a method of data analysis without the use of supervised data. Even-sized clustering based on optimization (ECBO) is a clustering algorithm that focuses on cluster size with the constraints that cluster sizes must be the same. However, this constraints makes ECBO inconvenient to apply in cases where a certain margin of cluster size is allowed. It is believed that this issue can be overcome by applying a fuzzy clustering method. Fuzzy clustering can represent the membership of data to clusters more flexible. In this paper, we propose a new even-sized clustering algorithm based on fuzzy clustering and verify its effectiveness through numerical examples.
Author Endo, Yasunori
Kitajima, Kei
Hamasuna, Yukihiro
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CorporateAuthor Department of Risk Engineering, Graduate School of Systems and Information Engineering, University of Tsukuba 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan
Faculty of Engineering, Information and Systems, University of Tsukuba 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan
Department of Informatics, School of Science and Engineering, Kindai University 3-4-1 Kowakae, Higashiosaka, Osaka 577-8502, Japan
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