Discussing a new Divisive Hierarchical Clustering algorithm

Autores
Vidal, Erica; Granitto, Pablo Miguel; Bayá, Ariel
Año de publicación
2014
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
We present DHClus, a new Divisive Hierarchical Clustering algorithm developed to detect clusters with arbitrary shapes. Our algorithm is able to solve clustering problems defined by different scales, i.e. clusters with arbitrarily dissimilar densities, connectivity or between cluster distances. The algorithm not only works under this difficult connditions but it is also able to find the number of clusters automatically. This paper describes this new algorithm and then present results on real gene expression data. We compare the results of DHClus with other algorithms to provide a reference frame.
Sociedad Argentina de Informática e Investigación Operativa (SADIO)
Materia
Ciencias Informáticas
Inteligencia Artificial
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/41716
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/41716
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Discussing a new Divisive Hierarchical Clustering algorithmVidal, EricaGranitto, Pablo MiguelBayá, ArielCiencias InformáticasInteligencia ArtificialWe present DHClus, a new Divisive Hierarchical Clustering algorithm developed to detect clusters with arbitrary shapes. Our algorithm is able to solve clustering problems defined by different scales, i.e. clusters with arbitrarily dissimilar densities, connectivity or between cluster distances. The algorithm not only works under this difficult connditions but it is also able to find the number of clusters automatically. This paper describes this new algorithm and then present results on real gene expression data. We compare the results of DHClus with other algorithms to provide a reference frame.Sociedad Argentina de Informática e Investigación Operativa (SADIO)2014-11info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf43-50http://sedici.unlp.edu.ar/handle/10915/41716enginfo:eu-repo/semantics/altIdentifier/url/http://43jaiio.sadio.org.ar/proceedings/ASAI/6.pdfinfo:eu-repo/semantics/altIdentifier/issn/1850-2784info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/3.0/Creative Commons Attribution 3.0 Unported (CC BY 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2026-05-27T10:55:51Zoai:sedici.unlp.edu.ar:10915/41716Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292026-05-27 10:55:51.762SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Discussing a new Divisive Hierarchical Clustering algorithm
title Discussing a new Divisive Hierarchical Clustering algorithm
spellingShingle Discussing a new Divisive Hierarchical Clustering algorithm
Vidal, Erica
Ciencias Informáticas
Inteligencia Artificial
title_short Discussing a new Divisive Hierarchical Clustering algorithm
title_full Discussing a new Divisive Hierarchical Clustering algorithm
title_fullStr Discussing a new Divisive Hierarchical Clustering algorithm
title_full_unstemmed Discussing a new Divisive Hierarchical Clustering algorithm
title_sort Discussing a new Divisive Hierarchical Clustering algorithm
dc.creator.none.fl_str_mv Vidal, Erica
Granitto, Pablo Miguel
Bayá, Ariel
author Vidal, Erica
author_facet Vidal, Erica
Granitto, Pablo Miguel
Bayá, Ariel
author_role author
author2 Granitto, Pablo Miguel
Bayá, Ariel
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Inteligencia Artificial
topic Ciencias Informáticas
Inteligencia Artificial
dc.description.none.fl_txt_mv We present DHClus, a new Divisive Hierarchical Clustering algorithm developed to detect clusters with arbitrary shapes. Our algorithm is able to solve clustering problems defined by different scales, i.e. clusters with arbitrarily dissimilar densities, connectivity or between cluster distances. The algorithm not only works under this difficult connditions but it is also able to find the number of clusters automatically. This paper describes this new algorithm and then present results on real gene expression data. We compare the results of DHClus with other algorithms to provide a reference frame.
Sociedad Argentina de Informática e Investigación Operativa (SADIO)
description We present DHClus, a new Divisive Hierarchical Clustering algorithm developed to detect clusters with arbitrary shapes. Our algorithm is able to solve clustering problems defined by different scales, i.e. clusters with arbitrarily dissimilar densities, connectivity or between cluster distances. The algorithm not only works under this difficult connditions but it is also able to find the number of clusters automatically. This paper describes this new algorithm and then present results on real gene expression data. We compare the results of DHClus with other algorithms to provide a reference frame.
publishDate 2014
dc.date.none.fl_str_mv 2014-11
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/41716
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dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://43jaiio.sadio.org.ar/proceedings/ASAI/6.pdf
info:eu-repo/semantics/altIdentifier/issn/1850-2784
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/3.0/
Creative Commons Attribution 3.0 Unported (CC BY 3.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/3.0/
Creative Commons Attribution 3.0 Unported (CC BY 3.0)
dc.format.none.fl_str_mv application/pdf
43-50
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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score 13.343307

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