SCLOPE: An algorithm for clustering data streams of categorical attributes

SCLOPE: An algorithm for clustering data streams of categorical attributes

Clustering is a difficult problem especially when we consider the task in the context of a data stream of categorical attributes. In this paper, we propose SCLOPE, a novel algorithm based on CLOPE's intuitive observation about cluster histograms. Unlike CLOPE however, our algorithm is very fast...

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書目詳細資料
Main Authors:	ONG, Kok-Leong, LI, Wenyuan, NG, Wee-Keong, LIM, Ee Peng
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2004
主題:	Databases and Information Systems
在線閱讀:	https://ink.library.smu.edu.sg/sis_research/1021 https://ink.library.smu.edu.sg/context/sis_research/article/2020/viewcontent/SCLOPE__An_algorithm_for_clustering_data_streams_of_categorical_attributes.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Singapore Management University
語言:	English

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