A new perspective of modified partition coefficient
Autor(a) principal: | |
---|---|
Data de Publicação: | 2015 |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10071/10584 |
Resumo: | We begin by showing that the modified partition coefficient (MPC) is an average Euclidean distance between membership degrees and the centre of the fuzzy c-partition. Subsequently, we construct alternative MPCs using several other measures of dissimilarity and examine how differently they perform when compared with the original proposal. Empirical evidence shows that the MPC based on a Chernoff's measure of divergence is more robust to the initial conditions of the fuzzy c-means algorithm. |
id |
RCAP_7c6ead633fc5b810d4a43263b7c48fb4 |
---|---|
oai_identifier_str |
oai:repositorio.iscte-iul.pt:10071/10584 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
A new perspective of modified partition coefficientFuzzy clusteringFuzzy partitionPartition coefficientDivergence measuresWe begin by showing that the modified partition coefficient (MPC) is an average Euclidean distance between membership degrees and the centre of the fuzzy c-partition. Subsequently, we construct alternative MPCs using several other measures of dissimilarity and examine how differently they perform when compared with the original proposal. Empirical evidence shows that the MPC based on a Chernoff's measure of divergence is more robust to the initial conditions of the fuzzy c-means algorithm.Elsevier Science BV2016-01-07T18:22:50Z2015-01-01T00:00:00Z20152019-05-10T09:35:33Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/10584eng0167-865510.1016/j.patrec.2015.01.008Suleman, A.info:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-09T17:47:21Zoai:repositorio.iscte-iul.pt:10071/10584Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:22:56.329615Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
A new perspective of modified partition coefficient |
title |
A new perspective of modified partition coefficient |
spellingShingle |
A new perspective of modified partition coefficient Suleman, A. Fuzzy clustering Fuzzy partition Partition coefficient Divergence measures |
title_short |
A new perspective of modified partition coefficient |
title_full |
A new perspective of modified partition coefficient |
title_fullStr |
A new perspective of modified partition coefficient |
title_full_unstemmed |
A new perspective of modified partition coefficient |
title_sort |
A new perspective of modified partition coefficient |
author |
Suleman, A. |
author_facet |
Suleman, A. |
author_role |
author |
dc.contributor.author.fl_str_mv |
Suleman, A. |
dc.subject.por.fl_str_mv |
Fuzzy clustering Fuzzy partition Partition coefficient Divergence measures |
topic |
Fuzzy clustering Fuzzy partition Partition coefficient Divergence measures |
description |
We begin by showing that the modified partition coefficient (MPC) is an average Euclidean distance between membership degrees and the centre of the fuzzy c-partition. Subsequently, we construct alternative MPCs using several other measures of dissimilarity and examine how differently they perform when compared with the original proposal. Empirical evidence shows that the MPC based on a Chernoff's measure of divergence is more robust to the initial conditions of the fuzzy c-means algorithm. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-01-01T00:00:00Z 2015 2016-01-07T18:22:50Z 2019-05-10T09:35:33Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10071/10584 |
url |
http://hdl.handle.net/10071/10584 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0167-8655 10.1016/j.patrec.2015.01.008 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/embargoedAccess |
eu_rights_str_mv |
embargoedAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier Science BV |
publisher.none.fl_str_mv |
Elsevier Science BV |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799134791185989632 |