A spectroscopy of texts for effective clustering

For many clustering algorithms, such as k-means, EM, and CLOPE, there is usually a requirement to set some parameters. Often, these parameters directly or indirectly control the number of clusters to return. In the presence of different data characteristics and analysis contexts, it is often difficu...

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Bibliographic Details
Main Authors: LI, Wenyuan, NG, Wee-Keong, ONG, Kok-Leong, LIM, Ee Peng
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2004
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Online Access:https://ink.library.smu.edu.sg/sis_research/1018
https://ink.library.smu.edu.sg/context/sis_research/article/2017/viewcontent/Li2004_Chapter_ASpectroscopyOfTextsForEffecti.pdf
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Institution: Singapore Management University
Language: English