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cluster cores-based clustering for high dimensional data
Shen YD; Shen ZY; Zhang SM; Yang Q
2004
Conference Name4th IEEE International Conference on Data Mining
Pages519-522
Conference DateNOV 01-04,
Conference PlaceBrighton, ENGLAND
Indexed Typeistp ; ieee
Publish Place10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA
PublisherFOURTH IEEE INTERNATIONAL CONFERENCE ON DATA MINING, PROCEEDINGS
ISBN0-7695-2142-8
DepartmentChinese Acad Sci, Inst Software, Comp Sci Lab, Beijing 100080, Peoples R China.
English AbstractWe propose a new approach to clustering high dimensional data based on a novel notion of cluster cores, instead of on nearest neighbors. A cluster core is a fairly dense group with a maximal number of pairwise similar objects. It represents th
KeywordCluster Cores-based Clustering Clustering Algorithm Curse Of Dimensionality High Dimensional Data Semantics-based Similarity Measure Time Complexity Computational Complexity Data Mining
SponsorshipIEEE Comp Soc, TCCI, IEEE Comp Soc, TCPAMI, IBM Res, StatSoft Ltd, Web Intelligence Consortium
Language英语
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/12974
Collection中国科学院软件研究所
Recommended Citation
GB/T 7714
Shen YD,Shen ZY,Zhang SM,et al. cluster cores-based clustering for high dimensional data[C]. 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA:FOURTH IEEE INTERNATIONAL CONFERENCE ON DATA MINING, PROCEEDINGS,2004:519-522.
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