This paper presents a new approach to fuzzy clustering using a membership function sensitive to density. It is a fuzzy membership function which allows the action range of the neural units matching the area they reach, even when the data set is contaminated by uniformly distributed noise points, without a need to fix a priori the number of clusters

Density based membership function for fuzzy clustering

G. Acciani;E. Chiarantoni;
1999

Abstract

This paper presents a new approach to fuzzy clustering using a membership function sensitive to density. It is a fuzzy membership function which allows the action range of the neural units matching the area they reach, even when the data set is contaminated by uniformly distributed noise points, without a need to fix a priori the number of clusters
International Joint Conference on Neural Networks, IJCNN'99
0-7803-5529-6
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11589/15116
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