Please use this identifier to cite or link to this item: https://doi.org/10.1007/BF00199472
DC FieldValue
dc.titleClustering in non-stationary environments using a clan-based evolutionary approach
dc.contributor.authorBabu, G.P.
dc.date.accessioned2014-12-12T07:47:46Z
dc.date.available2014-12-12T07:47:46Z
dc.date.issued1995-09
dc.identifier.citationBabu, G.P. (1995-09). Clustering in non-stationary environments using a clan-based evolutionary approach. Biological Cybernetics 73 (4) : 367-374. ScholarBank@NUS Repository. https://doi.org/10.1007/BF00199472
dc.identifier.issn03401200
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/116264
dc.description.abstractClustering techniques are used to discover structure in data by optimizing a denned criterion function. Most of these methods assume that the data are stationary, and these techniques are based on gradient descent which converge to a locally optimal clustering. There are many potential applications that require clustering to be performed in non-stationary temporal environments. In this paper, we investigate the applicability of a clan-based evolutionary optimization method for clustering data in non-stationary environments. Due to the stochastic nature of the technique, the problem of becoming entrapped in local optima is avoided, and the method can converge to (nearly) optimal clusters. Different cases are considered in the experiments, and the results demonstrate the efficacy of the evolutionary approach for clustering time-varying data. © 1995 Springer-Verlag.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/BF00199472
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentINSTITUTE OF SYSTEMS SCIENCE
dc.description.doi10.1007/BF00199472
dc.description.sourcetitleBiological Cybernetics
dc.description.volume73
dc.description.issue4
dc.description.page367-374
dc.description.codenBICYA
dc.identifier.isiutA1995RY63500008
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

1
checked on Aug 9, 2022

WEB OF SCIENCETM
Citations

1
checked on Aug 9, 2022

Page view(s)

158
checked on Aug 4, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.