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Fuzzy clustering algorithms and their applications to chemical datasets

In this work the importance of fuzzy based clustering methods is highlighted and their applications in the field of chemoinformatics, and issues involved are reviewed. The various methods and approaches of fuzzy clustering are outlined. The issue of number of valid clusters in a dataset is also dis...

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主要な著者: Shah, Jehan Zeb, Salim, Naomie
フォーマット: Conference or Workshop Item
言語:English
出版事項: 2005
主題:
QA75 Electronic computers. Computer science
オンライン･アクセス:http://eprints.utm.my/id/eprint/3337/1/Naomie_Salim_-_Fuzzy_Clustering_algorithms_and_their_applications_to_chemical_datasets.pdf
http://eprints.utm.my/id/eprint/3337/
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spelling my.utm.33372017-08-30T07:40:06Z http://eprints.utm.my/id/eprint/3337/ Fuzzy clustering algorithms and their applications to chemical datasets Shah, Jehan Zeb Salim, Naomie QA75 Electronic computers. Computer science In this work the importance of fuzzy based clustering methods is highlighted and their applications in the field of chemoinformatics, and issues involved are reviewed. The various methods and approaches of fuzzy clustering are outlined. The issue of number of valid clusters in a dataset is also discussed. The hyper dimensional chemical datasets are traditionally been treated only with the help of conventional clustering methods like hierarchical and non-hierarchical methods. In this paper we look into the issue of clustering these chemical datasets with fuzzy paradigms. In this paper a number of fuzzy clustering approaches like fuzzy c-mean, Gustafson and Kessel , Gath and Geva, fuzzy c-varieties, adaptive fuzzy , fuzzy based c-shell algorithms and some other aspects of fuzzy clustering are discussed. 2005-05-17 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/3337/1/Naomie_Salim_-_Fuzzy_Clustering_algorithms_and_their_applications_to_chemical_datasets.pdf Shah, Jehan Zeb and Salim, Naomie (2005) Fuzzy clustering algorithms and their applications to chemical datasets. In: Postgraduate Annual Research Seminar 2005, May 2005.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Shah, Jehan Zeb
Salim, Naomie
Fuzzy clustering algorithms and their applications to chemical datasets
description In this work the importance of fuzzy based clustering methods is highlighted and their applications in the field of chemoinformatics, and issues involved are reviewed. The various methods and approaches of fuzzy clustering are outlined. The issue of number of valid clusters in a dataset is also discussed. The hyper dimensional chemical datasets are traditionally been treated only with the help of conventional clustering methods like hierarchical and non-hierarchical methods. In this paper we look into the issue of clustering these chemical datasets with fuzzy paradigms. In this paper a number of fuzzy clustering approaches like fuzzy c-mean, Gustafson and Kessel , Gath and Geva, fuzzy c-varieties, adaptive fuzzy , fuzzy based c-shell algorithms and some other aspects of fuzzy clustering are discussed.
format Conference or Workshop Item
author Shah, Jehan Zeb
Salim, Naomie
author_facet Shah, Jehan Zeb
Salim, Naomie
author_sort Shah, Jehan Zeb
title Fuzzy clustering algorithms and their applications to chemical datasets
title_short Fuzzy clustering algorithms and their applications to chemical datasets
title_full Fuzzy clustering algorithms and their applications to chemical datasets
title_fullStr Fuzzy clustering algorithms and their applications to chemical datasets
title_full_unstemmed Fuzzy clustering algorithms and their applications to chemical datasets
title_sort fuzzy clustering algorithms and their applications to chemical datasets
publishDate 2005
url http://eprints.utm.my/id/eprint/3337/1/Naomie_Salim_-_Fuzzy_Clustering_algorithms_and_their_applications_to_chemical_datasets.pdf
http://eprints.utm.my/id/eprint/3337/
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score 13.250246

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