A novel automatic picture fuzzy clustering method based on particle swarm optimization and picture composite cardinality
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- 作者：Pham Huy Thong thongph@vnu.edu.vn" class="auth_mail" title="E-mail the corresponding author ; Le Hoang Son ; sonlh@vnu.edu.vn" class="auth_mail" title="E-mail the corresponding author ; chinhson2002@gmail.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：Picture fuzzy clustering ; Number of clusters ; Particle swarm optimization ; Picture composite cardinality ; Picture fuzzy sets
- 刊名：Knowledge-Based Systems
- 出版年：2016
- 出版时间：1 October 2016
- 年：2016
- 卷：109
- 期：Complete
- 页码：48-60
- 全文大小：2067 K
文摘
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We presented a novel automatic picture fuzzy clustering method called AFC-PFS.
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It automatically determined the most suitable number of clusters for a dataset.
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Picture Composite Cardinality was used for best matching of the number of clusters.
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AFC-PFS created both the most suitable number of clusters and related solutions.
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It produced closest numbers of clusters to real ones.