A clustering validity criteria-guided unsupervised sparse subset selection algorithm-Reference-Cited by-同舟云学术

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A clustering validity criteria-guided unsupervised sparse subset selection algorithm

Published:2023-09-22 Issue: Volume:1988 Page:1270-1275
ISSN:
Container-title:2023 6th International Conference on Artificial Intelligence and Pattern Recognition (AIPR)
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Author:

Zhi Xiaobin¹^ORCID,Ren Qian²^ORCID,Yu Tongjun³^ORCID

Affiliation:

1. School of Science, Xi'an University of Posts and Telecommunications, China

2. School of Computer Science, Xi'an University of Posts and Telecommunications, China

3. School of Communication and Information Engineering, Xi'an University of Posts and Telecommunications, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3641584.3641775

Reference16 articles.

1. Webb A R, Copsey K D, Cawley G. Statistical pattern recognition[M]. New York: wiley, 2011.

2. Bezdek J C, Keller J, Krisnapuram R, Fuzzy models and algorithms for pattern recognition and image processing[M]. Springer Science & Business Media, 1999.

3. Hartigan J A, Wong M A. Algorithm AS 136: A k-means clustering algorithm[J]. Journal of the royal statistical society. series c (applied statistics), 1979, 28(1): 100-108.

4. Rdusseeun L, Kaufman P. Clustering by means of medoids[C]//Proceedings of the statistical data analysis based on the norm conference, neuchatel, switzerland. 1987, 31.

5. Frey B J, Dueck D. Clustering by passing messages between data points[J]. science, 2007, 315(5814): 972-976.

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