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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Bibliographic Details
Main Authors: MENG, Lei, TAN, Ah-hwee, WUNSCH, Donald C.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2019
Subjects:
Online Access:https://ink.library.smu.edu.sg/sis_research/6061
https://ink.library.smu.edu.sg/context/sis_research/article/7064/viewcontent/clustering.pdf
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Institution: Singapore Management University
Language: English