Modified affinity propagation clustering

Jing Zhang, Mingyi He, Yuchao Dai

科研成果: 书/报告/会议事项章节会议稿件同行评审

4 引用 (Scopus)

摘要

Affinity propagation clustering is an efficient clustering technique that does not require prior knowledge of the number of clusters. However, it sets the input preferences without considering data set distribution and competition in the former iteration is ignored when updating messages passing between data points. This paper presents a modified affinity propagation algorithm. Firstly, preference for each data point to serve as an exemplar is computed self-adaptively based on data set distribution; then encouragement and chastisement mechanism is introduced for updating message of availability. Experimental results on standard data sets and synthetic data sets demonstrate feasibility and effectiveness of the proposed algorithm.

源语言英语
主期刊名2014 IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014 - Proceedings
出版商Institute of Electrical and Electronics Engineers Inc.
505-509
页数5
ISBN(电子版)9781479954032
DOI
出版状态已出版 - 3 9月 2014
已对外发布
活动2nd IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014 - Xi'an, 中国
期限: 9 7月 201413 7月 2014

出版系列

姓名2014 IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014 - Proceedings

会议

会议2nd IEEE China Summit and International Conference on Signal and Information Processing, IEEE ChinaSIP 2014
国家/地区中国
Xi'an
时期9/07/1413/07/14

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