Details

Title

Clustering in Fuzzy Subspaces / Grupowanie danych w rozmytych podprzestrzeniach

Journal title

Theoretical and Applied Informatics

Yearbook

2012

Numer

No 4

Publication authors

Keywords

subspace clustering ; weighted attributes ; fuzzy clustering

Divisions of PAS

Nauki Techniczne

Abstract

Some data sets contain data clusters not in all dimension, but in subspaces. Known algorithms select attributes and identify clusters in subspaces. The paper presents a novel algorithm for subspace fuzzy clustering. Each data example has fuzzy membership to the cluster. Each cluster is defined in a certainsubspace, but the the membership of the descriptors of the cluster to the subspace (called descriptor weight) is fuzzy (from interval [0,1]) – the descriptors of the cluster can have partial membership to a subspace the cluster is defined in. Thus the clusters are fuzzy defined in their subspaces. The clusters are defined by their centre, fuzziness and weights of descriptors. The clustering algorithm is based on minimizing of criterionfunction. The paper is accompanied by the experimental results of clustering. This approach can be used for partition of input domain in extraction rule base for neuro-fuzzy systems.

Publisher

Committee of Informatics of Polish Academy of Science ; Institute of Theoretical and Applied Informatics of Polish Academy of Science

Date

2012

Type

Artykuły / Articles

Identifier

ISSN 1896-5334
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