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Published in:
2014 | OriginalPaper | Chapter
Hard and Fuzzy c-means Algorithms with Pairwise Constraints by Non-metric Terms
Authors : Yasunori Endo, Naohiko Kinoshita, Kuniaki Iwakura, Yukihiro Hamasuna
Published in: Modeling Decisions for Artificial Intelligence
Publisher: Springer International Publishing
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Recently, semi-supervised clustering has been focused, e.g., Refs. [2–5]. The semi-supervised clustering algorithms improve clustering results by incorporating prior information with the unlabeled data. This paper proposes three new clustering algorithms with pairwise constraints by introducing non-metric term to objective functions of the well-known clustering algorithms. Moreover, its effectiveness is verified through some numerical examples.