On fuzzy clustering algorithms for nominal data

Yuchi Kanzawa

doi:10.1109/SCISISIS50064.2020.9322791

On fuzzy clustering algorithms for nominal data

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

Abstract

This paper presents three fuzzy clustering algorithms for nominal data. The first algorithm is similar to a conventional algorithm for vectorial data developed by introducing variables for controlling the cluster size. The second algorithm is similar to a conventional algorithm for vectorial data developed by regularizing another conventional algorithm for vectorial data with Kullback-Leibler divergence. The third algorithm is developed by regularizing the first algorithm mentioned above with q-divergence. Finally, some numerical experiments are conducted to investigate the features of the proposed algorithms.

Original language	English
Title of host publication	2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728197326
DOIs	https://doi.org/10.1109/SCISISIS50064.2020.9322791
Publication status	Published - 2020 Dec 5
Event	Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2020 - Virtual, Tokyo, Japan Duration: 2020 Dec 5 → 2020 Dec 8

Publication series

Name	2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2020

Conference

Conference	Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2020
Country/Territory	Japan
City	Virtual, Tokyo
Period	20/12/5 → 20/12/8

Keywords

Divergence
Fuzzy Clustering
Nominal Data

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Computer Vision and Pattern Recognition
Software
Computational Mathematics

Access to Document

10.1109/SCISISIS50064.2020.9322791

Cite this

Kanzawa, Y. (2020). On fuzzy clustering algorithms for nominal data. In 2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2020 [9322791] (2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SCISISIS50064.2020.9322791

On fuzzy clustering algorithms for nominal data. / Kanzawa, Yuchi.

2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9322791 (2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2020).

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

Kanzawa, Y 2020, On fuzzy clustering algorithms for nominal data. in 2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2020., 9322791, 2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2020, Institute of Electrical and Electronics Engineers Inc., Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2020, Virtual, Tokyo, Japan, 20/12/5. https://doi.org/10.1109/SCISISIS50064.2020.9322791

Kanzawa Y. On fuzzy clustering algorithms for nominal data. In 2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9322791. (2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2020). doi: 10.1109/SCISISIS50064.2020.9322791

Kanzawa, Yuchi. / On fuzzy clustering algorithms for nominal data. 2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2020. Institute of Electrical and Electronics Engineers Inc., 2020. (2020 Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2020).

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On fuzzy clustering algorithms for nominal data

Abstract

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Keywords

ASJC Scopus subject areas

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