Document Clustering for Electronic Meetings: An Experimental Comparison of Two Techniques

Document Clustering for Electronic Meetings: An Experimental Comparison of Two Techniques (1994)

by Dmitri G. Roussinov , Hsinchun Chen

Venue:	of 16QAM Digital PLL Based Demodultors", Proc. Globecom-94
Citations:	13 - 3 self

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Datum	Value	Source
TITLE	Document Clustering for Electronic Meetings: An Experimental Comparison of Two Techniques	user correction
AUTHOR NAME	Dmitri G. Roussinov	user correction
AUTHOR AFFIL	Department of MIS, Karl Eller Graduate School of Management, UniÕersity of Arizona, McClelland Hall 430ww, Tucson	user correction
AUTHOR ADDR	AZ 85721, USA	user correction
AUTHOR NAME	Hsinchun Chen	user correction
AUTHOR AFFIL	Department of MIS, Karl Eller Graduate School of Management, UniÕersity of Arizona, McClelland Hall 430ww, Tucson	user correction
AUTHOR ADDR	AZ 85721, USA	user correction
ABSTRACT	In this article, we report our implementation and comparison of two text clustering techniques. One is based on Ward's clustering and the other on Kohonen's Self-organizing Maps. We have evaluated how closely clusters produced by a computer resemble those created by human experts. We have also measured the time that it takes for an expert to "clean up" the automatically produced clusters. The technique based on Ward's clustering was found to be more precise. Both techniques have worked equally well in detecting associations between text documents. We used text messages obtained from group brainstorming meetings.	user correction
YEAR	1994	INFERENCE
VENUE	of 16QAM Digital PLL Based Demodultors", Proc. Globecom-94	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	410--414	INFERENCE
CITATIONS	28 found	ParsCit 1.0