Breaking the hierarchy - a new cluster selection mechanism for hierarchical clustering methods

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1748-7188

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Breaking the hierarchy - a new cluster selection mechanism for hierarchical clustering methods ; volume:4 ; number:1 ; day:19 ; month:10 ; year:2009 ; pages:1-22 ; date:12.2009
Algorithms for molecular biology ; 4, Heft 1 (19.10.2009), 1-22, 12.2009

Creator: Zahoránszky, László A.
Katona, Gyula Y.
Hári, Péter
Málnási-Csizmadia, András
Zweig, Katharina A.
Zahoránszky-Köhalmi, Gergely

Contributor: SpringerLink (Online service)

DOI: 10.1186/1748-7188-4-12

URN: urn:nbn:de:101:1-2021082121313849742099

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:46 AM CEST

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Zahoránszky, László A.
Katona, Gyula Y.
Hári, Péter
Málnási-Csizmadia, András
Zweig, Katharina A.
Zahoránszky-Köhalmi, Gergely
SpringerLink (Online service)

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Element-centric clustering comparison unifies overlaps and hierarchy

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Diversity-driven Widening of Hierarchical Agglomerative Clustering

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Hierarchical Means Clustering

Divisive hierarchical maximum likelihood clustering

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Element-centric clustering comparison unifies overlaps and hierarchy

Hierarchical clustering of maximum parsimony reconciliations

The cognitive comparison enhanced hierarchical clustering

Tangles and Single Linkage Hierarchical Clustering

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Diversity-driven Widening of Hierarchical Agglomerative Clustering

Fast approximate hierarchical clustering using similarity heuristics

Simple primitive recognition via hierarchical face clustering

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Breaking the hierarchy - a new cluster selection mechanism for hierarchical clustering methods

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Other Objects (12)

Hierarchical subspace clustering

Hierarchical Means Clustering

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Order preserving hierarchical agglomerative clustering

Element-centric clustering comparison unifies overlaps and hierarchy

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Diversity-driven Widening of Hierarchical Agglomerative Clustering

Fast approximate hierarchical clustering using similarity heuristics

Simple primitive recognition via hierarchical face clustering

Hierarchical subspace clustering

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Divisive hierarchical maximum likelihood clustering

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Tangles and Single Linkage Hierarchical Clustering

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Diversity-driven Widening of Hierarchical Agglomerative Clustering

Fast approximate hierarchical clustering using similarity heuristics

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Hierarchical Means Clustering

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