文章摘要
Xie Zongbo (谢宗伯),Feng Jiuchao.[J].高技术通讯(英文),2012,18(1):33~37
KFL: a clustering algorithm for image database①
  
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中文关键词: 
英文关键词: kernel fuzzy learning (KFL), image clustering, content-based image retrieval (CBIR)
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Author NameAffiliation
Xie Zongbo (谢宗伯)  
Feng Jiuchao  
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中文摘要:
      
英文摘要:
      It is a fairly challenging issue to make image repositories easy to be searched and browsed. This depends on a technique—image clustering. Kernel-based clustering algorithm has been one of the most promising clustering methods in the last few years, because it can handle data with high dimensional complex structure. In this paper, a kernel fuzzy learning (KFL) algorithm is proposed, which takes advantages of the distance kernel trick and the gradient-based fuzzy clustering method to execute the image clustering automatically. Experimental results show that KFL is a more efficient method for image clustering in comparison with recent reported alternative methods.
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