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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Main Authors: LI, Wenyuan, NG, Wee-Keong, ONG, Kok-Leong, LIM, Ee Peng
格式: text
語言:English
出版: Institutional Knowledge at Singapore Management University 2004
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在線閱讀: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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