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一种新的中心对称聚类算法 被引量:3

A Novel Clustering Algorithm Based on Central Symmetry
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摘要 Data clustering is an important reserch field in data mining. The key of the clustering algorithm is the distance measure. In this paper,we put forward a new distance measure based on central symmetry. Then we apply it to data clustering. The experimental studies prove the feasibility of this algorithm and get a satisfied result in face detection. Data clustering is an important reserch field in data mining. The key of the clustering algorithm is the distance measure. In this paper,we put forward a new distance measure based on central symmetry. Then we apply it to data clustering. The experimental studies prove the feasibility of this algorithm and get a satisfied result in face detection.
出处 《计算机科学》 CSCD 北大核心 2003年第6期136-138,共3页 Computer Science
基金 广东省自然科学基金(990582) 广州市科委基金(2000-J-006-01)
关键词 数据挖掘 中心对称聚类算法 人脸识别 人脸检测 相似性度量算法 Clustering Central symmetry Face detection
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参考文献4

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同被引文献29

  • 1郭景峰,赵玉艳,边伟峰,李晶.基于改进的凝聚性和分离性的层次聚类算法[J].计算机研究与发展,2008,45(z1):202-206. 被引量:15
  • 2汤周文,叶东毅.基于层次聚类的差异化属性约简算法[J].计算机应用,2009,29(2):419-420. 被引量:1
  • 3李玉鑑.分层子树合并聚类算法[J].北京工业大学学报,2006,32(5):442-446. 被引量:4
  • 4胡文瑜,孙志挥,周晓云.基于相异性选择的密度聚类算法研究[J].小型微型计算机系统,2006,27(9):1601-1604. 被引量:2
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