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Clustering by passing messages between data points

Author
FREY, Brendan J1 ; DUECK, Delbert1
[1] Department of Electrical and Computer Engineering, University of Toronto, 10 King's College Road, Toronto, Ontario M5S 3G4, Canada
Source

Science (Washington, D.C.). 2007, Vol 315, Num 5814, pp 972-976, 5 p ; ref : 23 ref

CODEN
SCIEAS
ISSN
0036-8075
Scientific domain
Multidisciplinary
Publisher
American Association for the Advancement of Science, Washington, DC
Publication country
United States
Document type
Article
Language
English
Keyword (fr)
Affinité Classification automatique Classification signal Détection signal Envoi message Méthode itérative Similitude Traitement donnée Traitement image Traitement signal Zone urbaine
Keyword (en)
Affinity Automatic classification Signal classification Signal detection Message passing Iterative method Similarity Data processing Image processing Signal processing Urban area
Keyword (es)
Afinidad Clasificación automática Detección señal Método iterativo Similitud Tratamiento datos Procesamiento imagen Procesamiento señal Zona urbana
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A03 Information theory

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A05 Signal processing / 001D04A05C Image processing

Discipline
Telecommunications and information theory
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
18556879

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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