Fuzzified Even-Sized Clustering Based on Optimization

DOI Web Site Web Site 12 References Open Access
  • Kitajima Kei
    Department of Risk Engineering, Graduate School of Systems and Information Engineering, University of Tsukuba
  • Endo Yasunori
    Faculty of Engineering, Information and Systems, University of Tsukuba
  • Hamasuna Yukihiro
    Department of Informatics, School of Science and Engineering, Kindai University

Search this article

Abstract

<p>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.</p>

Journal

References(12)*help

See more

Related Projects

See more

Keywords

Details 詳細情報について

Report a problem

Back to top