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A partitional clustering algorithm validated by a clustering tendency index based on graph theory

Title
A partitional clustering algorithm validated by a clustering tendency index based on graph theory
Type
Article in International Scientific Journal
Year
2006
Authors
Silva, HB
(Author)
Other
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Brito, P
(Author)
FEP
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da Costa, JP
(Author)
FCUP
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Journal
Title: Pattern RecognitionImported from Authenticus Search for Journal Publications
Vol. 39
Pages: 776-788
ISSN: 0031-3203
Publisher: Elsevier
Scientific classification
FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering
Other information
Authenticus ID: P-004-M39
Abstract (EN): Applying graph theory to clustering, we propose a partitional clustering method and a clustering tendency index. No initial assumptions about the data set are requested by the method. The number of clusters and the partition that best fits the data set, are selected according to the optimal clustering tendency index value.
Language: English
Type (Professor's evaluation): Scientific
Contact: hbs@isep.ipp.pt; mpbrito@fep.up.pt; jpcosta@fc.up.pt
No. of pages: 13
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