Title: | cluster cores-based clustering for high dimensional data |
Author: | Shen YD
; Shen ZY
; Zhang SM
; Yang Q
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Conference Name: | 4th IEEE International Conference on Data Mining
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Conference Date: | NOV 01-04,
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Issued Date: | 2004
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Conference Place: | Brighton, ENGLAND
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Keyword: | cluster cores-based clustering
; clustering algorithm
; curse of dimensionality
; high dimensional data
; semantics-based similarity measure
; time complexity
; computational complexity
; data mining
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Publisher: | FOURTH IEEE INTERNATIONAL CONFERENCE ON DATA MINING, PROCEEDINGS
|
Publish Place: | 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA
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Indexed Type: | istp
; ieee
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ISBN: | 0-7695-2142-8
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Department: | Chinese Acad Sci, Inst Software, Comp Sci Lab, Beijing 100080, Peoples R China.
|
Sponsorship: | IEEE Comp Soc, TCCI, IEEE Comp Soc, TCPAMI, IBM Res, StatSoft Ltd, Web Intelligence Consortium
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English Abstract: | We 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 |
Language: | 英语
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Content Type: | 会议论文
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URI: | http://ir.iscas.ac.cn/handle/311060/12974
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Appears in Collections: | 软件所图书馆_会议论文
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File Name/ File Size |
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10.1.1.162.2065.pdf(128KB) | -- | -- | 限制开放 | -- | 联系获取全文 |
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Recommended Citation: |
Shen YD,Shen ZY,Zhang SM,et al. cluster cores-based clustering for high dimensional data[C]. 见:4th IEEE International Conference on Data Mining. Brighton, ENGLAND. NOV 01-04,.
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