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AuthorBen Said, Ahmed
AuthorFoufou, Sebti
AuthorAbidi, Mongi
Available date2023-10-08T08:41:46Z
Publication Date2014
Publication NameProceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA
ResourceScopus
ISSN21615322
URIhttp://dx.doi.org/10.1109/AICCSA.2014.7073191
URIhttp://hdl.handle.net/10576/48320
AbstractIn this paper, we propose a new cluster validity index (CVI) based on geometrical shape. Classic CVIs are based on a combination of separation and compactness measures and may include a measure of overlap between clusters. The proposed CVI combines measures of compactness and over-lap using n-sphere shape. We conducted experiments on several real data sets from the UCI repository and compared the performances of the proposed CVI with widely used CVIs. Results demonstrate that the proposed CVI performs better than the others even when used with complicated data sets.
Languageen
PublisherIEEE
SubjectIndexes
Volume measurement
Clustering algorithms
Iris
Partitioning algorithms
Shape
Vectors
TitleCluster validity index based on n-sphere
TypeConference Paper
Pagination144-147
Volume Number2014
dc.accessType Abstract Only


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