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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| Format: | Conference or Workshop Item |
| Language: | en |
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2005
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| Online Access: | http://eprints.utm.my/3337/1/Naomie_Salim_-_Fuzzy_Clustering_algorithms_and_their_applications_to_chemical_datasets.pdf http://eprints.utm.my/3337/ |
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| _version_ | 1845470874284589056 |
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| author | Shah, Jehan Zeb Salim, Naomie |
| author_facet | Shah, Jehan Zeb Salim, Naomie |
| author_sort | Shah, Jehan Zeb |
| building | UTM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Malaysia |
| content_source | UTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| 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 |
| id | my.utm.eprints-3337 |
| institution | Universiti Teknologi Malaysia |
| language | en |
| publishDate | 2005 |
| record_format | eprints |
| spelling | my.utm.eprints-33372017-08-30T07:40:06Z http://eprints.utm.my/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/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. |
| spellingShingle | QA75 Electronic computers. Computer science Shah, Jehan Zeb Salim, Naomie Fuzzy clustering algorithms and their applications to chemical datasets |
| title | 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_short | Fuzzy clustering algorithms and their applications to chemical datasets |
| title_sort | fuzzy clustering algorithms and their applications to chemical datasets |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.utm.my/3337/1/Naomie_Salim_-_Fuzzy_Clustering_algorithms_and_their_applications_to_chemical_datasets.pdf http://eprints.utm.my/3337/ |
| url_provider | http://eprints.utm.my/ |