Optimal fuzzy clustering in overlapping clusters
Joint Authors
Lachkar, Abd al-Munim
Slaoui, Khadija
Rais, Nur al-Din
Ammor, Ouafae
Source
The International Arab Journal of Information Technology
Issue
Vol. 5, Issue 4 (31 Oct. 2008), pp.402-408, 7 p.
Publisher
Publication Date
2008-10-31
Country of Publication
Jordan
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
The fuzzy c-means clustering algorithm has been widely used to obtain the fuzzy k-partitions.
This algorithm requires that the user gives the number of clusters k.
To find automatically the “right” number of clusters, k, for a given data set, many validity indexes algorithms have been proposed in the literature.
Most of these indexes do not work well for clusters with different overlapping degree.
They usually have a tendency to fails in selecting the correct optimal clusters number when dealing with some data sets containing overlapping clusters.
To overcome this limitation, we propose in this paper, a new and efficient clusters validity measure for determination of the optimal number of clusters which can deal successfully with or without situation of overlapping.
This measure is based on maximum entropy principle.
Our approach does not require any parameter adjustment, it is then completely automatic.
Many simulated and real examples are presented, showing the superiority of our measure to the existing ones.
American Psychological Association (APA)
Ammor, Ouafae& Lachkar, Abd al-Munim& Slaoui, Khadija& Rais, Nur al-Din. 2008. Optimal fuzzy clustering in overlapping clusters. The International Arab Journal of Information Technology،Vol. 5, no. 4, pp.402-408.
https://search.emarefa.net/detail/BIM-11539
Modern Language Association (MLA)
Ammor, Ouafae…[et al.]. Optimal fuzzy clustering in overlapping clusters. The International Arab Journal of Information Technology Vol. 5, no. 4 (Oct. 2008), pp.402-408.
https://search.emarefa.net/detail/BIM-11539
American Medical Association (AMA)
Ammor, Ouafae& Lachkar, Abd al-Munim& Slaoui, Khadija& Rais, Nur al-Din. Optimal fuzzy clustering in overlapping clusters. The International Arab Journal of Information Technology. 2008. Vol. 5, no. 4, pp.402-408.
https://search.emarefa.net/detail/BIM-11539
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 407
Record ID
BIM-11539