FCM & G-K clustering of chemical datasets using topological Indices /

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Bibliographic Details
Main Authors: 277266 Jehan Zeb Shah, Naomie Salim, International Symposium on Bio-Inspired Computing (2005 : Johor Bahru, Johor)
Format:
Language:eng
Published: Skudai : Universiti Teknologi Malaysia, 2005
Subjects:
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author 277266 Jehan Zeb Shah
Naomie Salim
International Symposium on Bio-Inspired Computing (2005 : Johor Bahru, Johor)
author_facet 277266 Jehan Zeb Shah
Naomie Salim
International Symposium on Bio-Inspired Computing (2005 : Johor Bahru, Johor)
author_sort 277266 Jehan Zeb Shah
collection OCEAN
description 41
first_indexed 2024-03-05T05:21:37Z
format
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institution Universiti Teknologi Malaysia - OCEAN
language eng
last_indexed 2024-03-05T05:21:37Z
publishDate 2005
publisher Skudai : Universiti Teknologi Malaysia,
record_format dspace
spelling KOHA-OAI-TEST:3373172020-12-19T17:11:26ZFCM & G-K clustering of chemical datasets using topological Indices / 277266 Jehan Zeb Shah Naomie Salim International Symposium on Bio-Inspired Computing (2005 : Johor Bahru, Johor) Skudai : Universiti Teknologi Malaysia, 2005eng41PSZJBLFuzzy setsFuzzy logicCluster analysis
spellingShingle Fuzzy sets
Fuzzy logic
Cluster analysis
277266 Jehan Zeb Shah
Naomie Salim
International Symposium on Bio-Inspired Computing (2005 : Johor Bahru, Johor)
FCM & G-K clustering of chemical datasets using topological Indices /
title FCM & G-K clustering of chemical datasets using topological Indices /
title_full FCM & G-K clustering of chemical datasets using topological Indices /
title_fullStr FCM & G-K clustering of chemical datasets using topological Indices /
title_full_unstemmed FCM & G-K clustering of chemical datasets using topological Indices /
title_short FCM & G-K clustering of chemical datasets using topological Indices /
title_sort fcm g k clustering of chemical datasets using topological indices
topic Fuzzy sets
Fuzzy logic
Cluster analysis
work_keys_str_mv AT 277266jehanzebshah fcmgkclusteringofchemicaldatasetsusingtopologicalindices
AT naomiesalim fcmgkclusteringofchemicaldatasetsusingtopologicalindices
AT internationalsymposiumonbioinspiredcomputing2005johorbahrujohor fcmgkclusteringofchemicaldatasetsusingtopologicalindices