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Author Choe, H. ♦ Jordan, J.B.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1992
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Clustering algorithms ♦ Decision theory
Abstract The authors propose a technique for determining the weighting exponent, m, a parameter in a fuzzy c-means algorithm, using the concept of fuzzy decision theory. They define a fuzzy goal as maximizing the number of data points in a cluster and a fuzzy constraint as the minimizing of the sum of square errors within a cluster. A decision about m is made by taking the intersection of the fuzzy goal and constraint such that given m, the fuzzy c-means algorithm produces good clusters.<<ETX>>
Description Author affiliation: Dept. of Electr. & Comput. Eng., New Mexico State Univ., Las Cruces, NM, USA (Choe, H.; Jordan, J.B.)
ISBN 0780302362
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1992-03-08
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 247.53 kB
Page Count 6
Starting Page 349
Ending Page 354


Source: IEEE Xplore Digital Library