Clustering and its extensions in the social media domain

• 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
• 機構: Singapore Management University

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...