Clustering and its extensions in the social media domain

Clustering and its extensions in the social media domain

This chapter summarizes existing clustering and related approaches for the identified challenges as described in Sect. 1.2 and presents the key branches of social media mining applications where clustering holds a potential. Specifically, several important types of clustering algorithms are first il...

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書目詳細資料
Main Authors:	MENG, Lei, TAN, Ah-hwee, WUNSCH, Donald C.
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2019
主題:	Databases and Information Systems Software Engineering
在線閱讀:	https://ink.library.smu.edu.sg/sis_research/6061 https://ink.library.smu.edu.sg/context/sis_research/article/7064/viewcontent/clustering.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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