المؤلفون: Vincent Miele, Hugo Zanghi, Christophe Ambroise

المصدر: Pattern Recognition. 41:3592-3599

مصطلحات موضوعية: Theoretical computer science, Correlation clustering, Graph partition, Data stream clustering, Artificial Intelligence, CURE data clustering algorithm, Signal Processing, Canopy clustering algorithm, Graph (abstract data type), Computer Vision and Pattern Recognition, Cluster analysis, Algorithm, Software, Mathematics, Clustering coefficient

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::33724675d0e98596c8adf1df1e720c76
https://doi.org/10.1016/j.patcog.2008.06.019

المؤلفون: Christophe Ambroise, Vincent Miele, Hugo Zanghi, Franck Picard

المساهمون: Statistique en grande dimension pour la génomique, Département PEGASE [LBBE] (PEGASE), Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)

المصدر: Ann. Appl. Stat. 4, no. 2 (2010), 687-714
Annals of Applied Statistics
Annals of Applied Statistics, 2010, 4 (2), pp.687-714. ⟨10.1214/10-AOAS359⟩
Annals of Applied Statistics, Institute of Mathematical Statistics, 2010, 4(2), pp.687-714

مصطلحات موضوعية: FOS: Computer and information sciences, Statistics and Probability, [SDV.OT]Life Sciences [q-bio]/Other [q-bio.OT], Computer science, Inference, Context (language use), 02 engineering and technology, Machine learning, computer.software_genre, 01 natural sciences, Statistics - Applications, Machine Learning (cs.LG), 010104 statistics & probability, Graph clustering, Expectation–maximization algorithm, 0202 electrical engineering, electronic engineering, information engineering, Applications (stat.AP), web graph structure analysis, 0101 mathematics, Cluster analysis, Statistical hypothesis testing, Clustering coefficient, EM Algorithms, Random graph, Estimation theory, business.industry, online strategies, Computer Science - Learning, Modeling and Simulation, 020201 artificial intelligence & image processing, Artificial intelligence, Statistics, Probability and Uncertainty, business, computer

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31dd95309011d94f1eba7d2a8563a84b
http://arxiv.org/abs/0910.2034

المؤلفون: Christophe Ambroise, Stevenn Volant, Hugo Zanghi

المساهمون: Exalead, AgroParisTech, Laboratoire Statistique et Génome (SG), Institut National de la Recherche Agronomique (INRA)-Université d'Évry-Val-d'Essonne (UEVE)-Centre National de la Recherche Scientifique (CNRS), Unité mixte statistiques et génome

المصدر: Pattern Recognition Letters
Pattern Recognition Letters, 2010, 31 (9), pp.830-836. ⟨10.1016/j.patrec.2010.01.026⟩
Pattern Recognition Letters, Elsevier, 2010, 31 (9), pp.830-836. ⟨10.1016/j.patrec.2010.01.026⟩

مصطلحات موضوعية: FOS: Computer and information sciences, Theoretical computer science, Correlation clustering, 02 engineering and technology, Statistics - Applications, 01 natural sciences, Vertex features, 010104 statistics & probability, Graph clustering, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Applications (stat.AP), 0101 mathematics, Cluster analysis, Clustering coefficient, Mathematics, Random graph, Null model, business.industry, Voltage graph, Pattern recognition, [STAT]Statistics [stat], Signal Processing, Level structure, 020201 artificial intelligence & image processing, Computer Vision and Pattern Recognition, Artificial intelligence, Variational EM algoritm, Null graph, business, Software

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40d1cf22a92df49671db0aa01c426071

المؤلفون: Hugo Zanghi, A.A. Assali

المصدر: 2006 2nd International Conference on Information & Communication Technologies.

مصطلحات موضوعية: Metadata, Set (abstract data type), Structure (mathematical logic), Hierarchy, Information retrieval, Correctness, Computer science, Graph (abstract data type), Graph theory, Cluster analysis

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::9c7e3b397f7295695519e1acdcd9d419
https://doi.org/10.1109/ictta.2006.1684422