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Akademický článek
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Autor:
Le Gorrec, Luce
Publikováno v:
Réseaux et télécommunications [cs.NI]. Université Paul Sabatier-Toulouse III, 2019. Français. ⟨NNT : 2019TOU30136⟩
The detection of block structures in matrices is an important challenge. First in data analysis where matrices are a key tool for data representation, as data tables or adjacency matrices. Indeed, for the first one, finding a co-clustering is equival
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2592::902d315540cdbd54e9e2c585bc3462ab
https://tel.archives-ouvertes.fr/tel-02735291
https://tel.archives-ouvertes.fr/tel-02735291
Publikováno v:
LNCS-Proceedings of ECML PKDD 2019
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases-ECML PKDD 2019
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases-ECML PKDD 2019, Sep 2019, Würzburg, Germany. pp.140-155, ⟨10.1007/978-3-030-46150-8_9⟩
[Research Report] IRIT. 2018
Machine Learning and Knowledge Discovery in Databases ISBN: 9783030461492
ECML/PKDD (1)
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases-ECML PKDD 2019
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases-ECML PKDD 2019, Sep 2019, Würzburg, Germany. pp.140-155, ⟨10.1007/978-3-030-46150-8_9⟩
[Research Report] IRIT. 2018
Machine Learning and Knowledge Discovery in Databases ISBN: 9783030461492
ECML/PKDD (1)
ISBN 978-3-030-46149-2; International audience; We present a multistage procedure to cluster directed and undirected weighted graphs by finding the block structure of their adjacency matrices. A central part of the process is to scale the adjacency m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d2b02650921ce5ddd620cf1ccacb294
https://hal.archives-ouvertes.fr/hal-03003811/document
https://hal.archives-ouvertes.fr/hal-03003811/document
Autor:
Le Gorrec, Luce
Publikováno v:
Réseaux et télécommunications [cs.NI]. Université Paul Sabatier-Toulouse III, 2019. Français. ⟨NNT : 2019TOU30136⟩
The detection of block structures in matrices is an important challenge. First in data analysis where matrices are a key tool for data representation, as data tables or adjacency matrices. Indeed, for the first one, finding a co-clustering is equival
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::902d315540cdbd54e9e2c585bc3462ab
https://theses.hal.science/tel-02735291
https://theses.hal.science/tel-02735291
Kniha
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