A spectroscopy of texts for effective clustering

• 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
• Subjects: Databases and Information Systems; Numerical Analysis and Scientific Computing
• 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
• Institution: Singapore Management University

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...