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Author Dave, R.N. ♦ Sen, S.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1998
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Noise robustness ♦ Clustering algorithms ♦ Phase change materials ♦ Mechanical engineering ♦ Partitioning algorithms ♦ Prototypes ♦ Differential equations
Abstract R.N. Dave's (1991) noise clustering (NC) algorithm has been generalized in an earlier work where the noise distance /spl delta/ is allowed to take different values for different feature vectors. Based on that, it was shown that the membership generated by the NC algorithm is a product of two terms, one is the original fuzzy c-means (FCM) membership responsible for data partitioning and the other is a generalized possibilistic membership that achieves a mode seeking effect, and imparts robustness. It is shown that a variety of robust M-estimators can be incorporated into the generalized NC algorithm, for example Huber, Hampel, Cauchy, Tukey biweight, and Andrew's sine. The generalized NC algorithm is also compared with the recently introduced mixed c-means and a noise resistant FCM technique.
Description Author affiliation: Dept. of Mech. Eng., New Jersey Inst. of Technol., Newark, NJ, USA (Dave, R.N.)
ISBN 0780344537
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1998-08-20
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 502.94 kB
Page Count 5
Starting Page 256
Ending Page 260

Source: IEEE Xplore Digital Library