%0 Journal Article
%T A New Unsupervised Clustering Method Based on Ontlier Information<br>一种基于离群点信息的新型无监督聚类方法
%A 吕天阳
%A 王钲旋
%A 左万利
%J 中国图象图形学报
%D 2004
%I 
%X There are various applications of clustering analysis techniques in the field of image retrieval. For the lack of valuable prior knowledge in the image retrieval process, unsupervised clustering algorithms should be applied. This paper proposes a new unsupervised clustering method: clustering algorithms will automatically stop according to the outlier information. This method also complements the shortages of current clustering algorithms in outlier detection and using. To show its feasibility, the paper proposes several improvements on two classical clustering algorithms, CURE and ROCK. The empirical results show that by using new method, these two algorithms can stop automatically and also achieve better performance.
%K image retrieval
%K unsupervised clustering
%K outlier<br>无监督聚类
%K 离群点
%K 聚类算法
%K 图像检索
%K 先验知识
%K 自动
%K 验证
%K 类方
%K 终止
%K 方法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=48780044B2F98B85&yid=D0E58B75BFD8E51C&vid=9CF7A0430CBB2DFD&iid=9CF7A0430CBB2DFD&sid=4814830A427BF9BC&eid=D7B9DD9E919B6180&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=2&reference_num=9