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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Main Authors: | MENG, Lei, TAN, Ah-hwee, WUNSCH, Donald C. |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2019
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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 |
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