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2019 | OriginalPaper | Chapter

Fuzzy Clustering High-Dimensional Data Using Information Weighting

Authors : Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Sergii V. Mashtalir

Published in: Artificial Intelligence and Soft Computing

Publisher: Springer International Publishing

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Abstract

The fuzzy clustering algorithm for high-dimensional data is proposed in this paper. An objective function which is insensitive to the “concentration of norms” phenomenon is also introduced. We recommend using a weighted parameter in the objective function. The proposed fuzzy clustering algorithm is compared with FCM in the experimental part. Dependence of the clustering algorithm’s results on the weighted parameter changes has also been investigated and tested.

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Title: Fuzzy Clustering High-Dimensional Data Using Information Weighting
Authors: Yevgeniy V. Bodyanskiy
Oleksii K. Tyshchenko
Sergii V. Mashtalir
Publisher: Springer International Publishing
Book: Artificial Intelligence and Soft Computing
Print ISBN: 978-3-030-20911-7

Electronic ISBN: 978-3-030-20912-4

Copyright Year: 2019
DOI: https://doi.org/10.1007/978-3-030-20912-4_36

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