A global Approach to the Comparison of Clustering Results

Detalhes bibliográficos
Autor(a) principal: Silva, Osvaldo
Data de Publicação: 2012
Outros Autores: Bacelar-Nicolau, Helena, Nicolau, Fernando C.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.3/2706
Resumo: Copyright © 2012 Walter de Gruyter GmbH.
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spelling A global Approach to the Comparison of Clustering ResultsCluster AnalysisVL MethodologyAffinity CoefficientComparing PartitionsCluster StabilityCluster ValidationCopyright © 2012 Walter de Gruyter GmbH.The discovery of knowledge in the case of Hierarchical Cluster Analysis (HCA) depends on many factors, such as the clustering algorithms applied and the strategies developed in the initialstage of Cluster Analysis. We present a global approach for evaluating the quality of clustering results and making a comparison among different clustering algorithms using the relevant information available (e.g. the stability, isolation and homogeneity of the clusters). In addition, we present a visual method to facilitate evaluation of the quality of the partitions, allowing identification of the similarities and differences between partitions, as well as the behaviour of the elements in the partitions. We illustrate our approach using a complex and heterogeneous dataset (real horse data) taken from the literature. We apply HCA based on the generalized affinity coefficient (similarity coefficient) to the case of complex data (symbolic data), combined with 26 (classic and probabilistic) clustering algorithms. Finally, we discuss the obtained results and the contribution of this approach to gaining better knowledge of the structure of data.Walter de GruyterRepositório da Universidade dos AçoresSilva, OsvaldoBacelar-Nicolau, HelenaNicolau, Fernando C.2014-02-05T15:53:47Z20122014-01-29T12:42:09Z2012-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.3/2706engSilva, Osvaldo; Bacelar-Nicolau, Helena; Nicolau, Fernando, C. (2012). "A global Approach to the Comparison of Clustering Results", Biometrical Letters, 49(2), 135-147. ISSN (Print) 1896-3811, DOI: 10.2478/bile-2013-0010.1896-3811 (Print)info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-12-20T14:30:31Zoai:repositorio.uac.pt:10400.3/2706Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:25:20.347194Repositório 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 global Approach to the Comparison of Clustering Results
title A global Approach to the Comparison of Clustering Results
spellingShingle A global Approach to the Comparison of Clustering Results
Silva, Osvaldo
Cluster Analysis
VL Methodology
Affinity Coefficient
Comparing Partitions
Cluster Stability
Cluster Validation
title_short A global Approach to the Comparison of Clustering Results
title_full A global Approach to the Comparison of Clustering Results
title_fullStr A global Approach to the Comparison of Clustering Results
title_full_unstemmed A global Approach to the Comparison of Clustering Results
title_sort A global Approach to the Comparison of Clustering Results
author Silva, Osvaldo
author_facet Silva, Osvaldo
Bacelar-Nicolau, Helena
Nicolau, Fernando C.
author_role author
author2 Bacelar-Nicolau, Helena
Nicolau, Fernando C.
author2_role author
author
dc.contributor.none.fl_str_mv Repositório da Universidade dos Açores
dc.contributor.author.fl_str_mv Silva, Osvaldo
Bacelar-Nicolau, Helena
Nicolau, Fernando C.
dc.subject.por.fl_str_mv Cluster Analysis
VL Methodology
Affinity Coefficient
Comparing Partitions
Cluster Stability
Cluster Validation
topic Cluster Analysis
VL Methodology
Affinity Coefficient
Comparing Partitions
Cluster Stability
Cluster Validation
description Copyright © 2012 Walter de Gruyter GmbH.
publishDate 2012
dc.date.none.fl_str_mv 2012
2012-01-01T00:00:00Z
2014-02-05T15:53:47Z
2014-01-29T12:42:09Z
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/10400.3/2706
url http://hdl.handle.net/10400.3/2706
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Silva, Osvaldo; Bacelar-Nicolau, Helena; Nicolau, Fernando, C. (2012). "A global Approach to the Comparison of Clustering Results", Biometrical Letters, 49(2), 135-147. ISSN (Print) 1896-3811, DOI: 10.2478/bile-2013-0010.
1896-3811 (Print)
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Walter de Gruyter
publisher.none.fl_str_mv Walter de Gruyter
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
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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
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