Hybridization of SOM and genetic algorithm to detect of uncertainty in cluster analysis

Bibliographic Details
Main Authors: Mohebi, E., Md. Sap, Mohd. Noor
Format: Book Section
Published: Penerbit UTM 2008
Subjects:
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author Mohebi, E.
Md. Sap, Mohd. Noor
author_facet Mohebi, E.
Md. Sap, Mohd. Noor
author_sort Mohebi, E.
collection ePrints
first_indexed 2024-03-05T18:34:13Z
format Book Section
id utm.eprints-20138
institution Universiti Teknologi Malaysia - ePrints
last_indexed 2024-03-05T18:34:13Z
publishDate 2008
publisher Penerbit UTM
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spelling utm.eprints-201382011-12-29T01:09:22Z http://eprints.utm.my/20138/ Hybridization of SOM and genetic algorithm to detect of uncertainty in cluster analysis Mohebi, E. Md. Sap, Mohd. Noor QA75 Electronic computers. Computer science Penerbit UTM 2008 Book Section PeerReviewed Mohebi, E. and Md. Sap, Mohd. Noor (2008) Hybridization of SOM and genetic algorithm to detect of uncertainty in cluster analysis. In: Advances in Artifical Intelligence Applications. Penerbit UTM , Johor, pp. 82-101. ISBN 978-983-52-0623-8
spellingShingle QA75 Electronic computers. Computer science
Mohebi, E.
Md. Sap, Mohd. Noor
Hybridization of SOM and genetic algorithm to detect of uncertainty in cluster analysis
title Hybridization of SOM and genetic algorithm to detect of uncertainty in cluster analysis
title_full Hybridization of SOM and genetic algorithm to detect of uncertainty in cluster analysis
title_fullStr Hybridization of SOM and genetic algorithm to detect of uncertainty in cluster analysis
title_full_unstemmed Hybridization of SOM and genetic algorithm to detect of uncertainty in cluster analysis
title_short Hybridization of SOM and genetic algorithm to detect of uncertainty in cluster analysis
title_sort hybridization of som and genetic algorithm to detect of uncertainty in cluster analysis
topic QA75 Electronic computers. Computer science
work_keys_str_mv AT mohebie hybridizationofsomandgeneticalgorithmtodetectofuncertaintyinclusteranalysis
AT mdsapmohdnoor hybridizationofsomandgeneticalgorithmtodetectofuncertaintyinclusteranalysis