Estimating the number of clusters using a windowing technique

Estimating the number of clusters using a windowing technique

Clustering is the process of partitioning a set of patterns into disjoint and homogeneous meaningful groups (clusters). A fundamental and unresolved issue in cluster analysis is to determine how many clusters are present in a given set of patterns. In this paper, we present the z-windows clustering...

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Veröffentlicht in:Pattern recognition and image analysis 2006-04, Vol.16 (2), p.143-154
Hauptverfasser: Boutsinas, B, Tasoulis, D K, Vrahatis, M N
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Cluster analysis
Clustering
Clusters
Empirical analysis
Estimating
Image analysis
Partitioning
Pattern recognition
Studies
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Zusammenfassung:Clustering is the process of partitioning a set of patterns into disjoint and homogeneous meaningful groups (clusters). A fundamental and unresolved issue in cluster analysis is to determine how many clusters are present in a given set of patterns. In this paper, we present the z-windows clustering algorithm, which aims to address this problem using a windowing technique. Extensive empirical tests that illustrate the efficiency and the accuracy of the propsoed method are presented.[PUBLICATION ABSTRACT]
ISSN:1054-6618
1555-6212
DOI:10.1134/S1054661806020015