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Author Frigui, I.E. ♦ Boujemaa, N. ♦ Soon-Ann Lim
Sponsorship Int. Fuzzy Syst. Assoc.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2001
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Image databases ♦ Clustering algorithms ♦ Application software ♦ Data engineering ♦ Shape ♦ Covariance matrix ♦ Open wireless architecture
Abstract We introduce a new algorithm that performs clustering and feature weighting simultaneously and in an unsupervised manner. The clustering approach is based on a model of mutual synchronization of pulse-coupled oscillators. The feature set is divided into logical subsets of features, and a degree of relevance is dynamically assigned to each subset based on its partial degree of similarity. The performance of the proposed algorithm is illustrated by using it to categorize a collection of images using three sets of features.
Description Author affiliation: Dept. of Electr. & Comput. Eng., Univ. of Memphis, TN, USA (Frigui, I.E.)
ISBN 0780370783
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2001-07-25
Publisher Place Canada
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 600.80 kB
Page Count 6
Starting Page 401
Ending Page 406

Source: IEEE Xplore Digital Library