On fuzzy clustering for incomplete spherical data and for incomplete multivariate categorical data

Yuchi Kanzawa

doi:10.1109/SCIS-ISIS.2018.00107

On fuzzy clustering for incomplete spherical data and for incomplete multivariate categorical data

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, six fuzzy clustering algorithms for incomplete data are proposed that use the optimal completion strategy, three of which are for incomplete spherical data and these of which are for incomplete categorical multivariate data. In numerical experiments using a real dataset, each of the proposed methods outperformed its counterpart method based on the whole data strategy (WDS) in terms of accuracy.

Original language	English
Title of host publication	Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	638-643
Number of pages	6
ISBN (Electronic)	9781538626337
DOIs	https://doi.org/10.1109/SCIS-ISIS.2018.00107
Publication status	Published - 2019 May 15
Event	Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018 - Toyama, Japan Duration: 2018 Dec 5 → 2018 Dec 8

Publication series

Name	Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018

Conference

Conference	Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018
Country/Territory	Japan
City	Toyama
Period	18/12/5 → 18/12/8

Keywords

Fuzzy Clustering
Incomplete Categorical Multivariate Data
Incomplete Spherical Data
Optimal Completion Strategy

ASJC Scopus subject areas

Human-Computer Interaction
Logic
Artificial Intelligence
Computational Theory and Mathematics
Computer Science Applications
Theoretical Computer Science

Access to Document

10.1109/SCIS-ISIS.2018.00107

Cite this

Kanzawa, Y. (2019). On fuzzy clustering for incomplete spherical data and for incomplete multivariate categorical data. In Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018 (pp. 638-643). [8716218] (Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SCIS-ISIS.2018.00107

On fuzzy clustering for incomplete spherical data and for incomplete multivariate categorical data. / Kanzawa, Yuchi.

Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018. Institute of Electrical and Electronics Engineers Inc., 2019. p. 638-643 8716218 (Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kanzawa, Y 2019, On fuzzy clustering for incomplete spherical data and for incomplete multivariate categorical data. in Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018., 8716218, Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018, Institute of Electrical and Electronics Engineers Inc., pp. 638-643, Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018, Toyama, Japan, 18/12/5. https://doi.org/10.1109/SCIS-ISIS.2018.00107

Kanzawa Y. On fuzzy clustering for incomplete spherical data and for incomplete multivariate categorical data. In Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018. Institute of Electrical and Electronics Engineers Inc. 2019. p. 638-643. 8716218. (Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018). doi: 10.1109/SCIS-ISIS.2018.00107

Kanzawa, Yuchi. / On fuzzy clustering for incomplete spherical data and for incomplete multivariate categorical data. Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 638-643 (Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018).

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On fuzzy clustering for incomplete spherical data and for incomplete multivariate categorical data

Abstract

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Conference

Keywords

ASJC Scopus subject areas

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