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A Hierarchical Image Segmentation Algorithm

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dc.book.titleMulticonferencia CAEPIA' 13
dc.contributor.authorZarrazola Rivera, Edwin
dc.contributor.authorYáñez Gestoso, Francisco Javier
dc.contributor.authorGómez González, Daniel
dc.contributor.authorMontero De Juan, Francisco Javier
dc.contributor.editorAlonso Betanzos, Amparo
dc.contributor.editorBielza, Concha
dc.contributor.editorSalmerón, Antonio
dc.contributor.editorDuarte, Abraham
dc.contributor.editorHidalgo, J. Ignacio
dc.contributor.editorMartínez, Luis
dc.contributor.editorBarrenechea, Edurne
dc.contributor.editorTroncoso, Alicia
dc.contributor.editorCorchado, Emilio
dc.contributor.editorCorchado, Juan M.
dc.contributor.editorHerrera, Francisco
dc.contributor.editorRiquelme, José C.
dc.date.accessioned2023-06-20T05:47:13Z
dc.date.available2023-06-20T05:47:13Z
dc.date.issued2013
dc.description.abstractIn this paper, we develop an efficient and polynomial hierarchical clustering (unsupervised classification) algorithm for images. The output of this algorithm shows the clust r evolution in a divisive way: since the first iteration in which all the pixels are in the same group until the last iteration in which all the pixels belong to a singleton cluster.en
dc.description.departmentDepto. de Estadística e Investigación Operativa
dc.description.facultyFac. de Ciencias Matemáticas
dc.description.refereedTRUE
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/30972
dc.identifier.isbn978-84-695-8348-7
dc.identifier.urihttps://hdl.handle.net/20.500.14352/45590
dc.language.isospa
dc.page.final1124
dc.page.initial1115
dc.page.total1774
dc.publication.placeMadrid
dc.publisherDesconocido
dc.rights.accessRightsopen access
dc.subject.cdu510.5
dc.subject.keywordClustering
dc.subject.keywordGraph-based segmentation
dc.subject.keywordCluster evolution
dc.subject.keywordImage segmentation
dc.subject.ucmMatemáticas (Matemáticas)
dc.subject.unesco12 Matemáticas
dc.titleA Hierarchical Image Segmentation Algorithmen
dc.typebook part
dspace.entity.typePublication
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relation.isAuthorOfPublication.latestForDiscovery5ce22aab-a4c1-4dfe-b8f9-78e09cbd2878

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