| Titre : |
Clustering for data mining : a data recovery approach |
| Type de document : |
texte imprimé |
| Auteurs : |
Boris Grigorʹevič Mirkin (1942-....) |
| Mention d'édition : |
Second edition |
| Editeur : |
Boca Raton, FL ; Londres : Chapman and Hall/CRC Press |
| Année de publication : |
2019 |
| Collection : |
Chapman & Hall/CRC Computer science and data analysis num. 3  |
| Importance : |
XXIII-350 p. |
| Présentation : |
ill. |
| Format : |
25 cm |
| ISBN/ISSN/EAN : |
978-0-367-38079-3 |
| Note générale : |
Bibliogr p. . Index |
| Langues : |
Anglais (eng) |
| Descripteurs : |
Analyse des données , Classification automatique , Données massives , Fouille de données , Statistique mathématique , Traitement des données
|
| Tags : |
Cluster analysis Data recovery |
| Index. décimale : |
829 Entrepôt de données - Data Warehouse |
| Résumé : |
This book presents a unified modeling approach for the most popular clustering methods: the K-Means and hierarchical techniques, especially for divisive clustering. It significantly expands coverage of the mathematics of data recovery, and includes a new chapter covering more recent popular network clustering approaches—spectral, modularity and uniform, additive, and consensus—treated within the same data recovery approach. Another added chapter covers cluster validation and interpretation, including recent developments for ontology-driven interpretation of clusters. Altogether, the insertions added a hundred pages to the book, even in spite of the fact that fragments unrelated to the main topics were removed. [D'après le résumé de l'éditeur] |
| Note de contenu : |
Hardback = ISBN: 978-1-4398-3841-9 (Published October 17, 2012 )
Paperback (Copyright 2013) = ISBN: 978-0-367-38079-3 (Published September 26, 2019)
Earlier ed. published under title: Clustering for data mining.
Mise à jour 03/09/20
|
| En ligne : |
https://www.routledge.com/Clustering-A-Data-Recovery-Approach-Second-Edition/Mir [...] |
| Permalink : |
https://genes.bibli.fr/index.php?lvl=notice_display&id=150231 |
Clustering for data mining : a data recovery approach [texte imprimé] / Boris Grigorʹevič Mirkin (1942-....) . - Second edition . - Boca Raton, FL ; Londres : Chapman and Hall/CRC Press, 2019 . - XXIII-350 p. : ill. ; 25 cm. - ( Chapman & Hall/CRC Computer science and data analysis; 3) . ISBN : 978-0-367-38079-3 Bibliogr p. . Index Langues : Anglais ( eng)
| Descripteurs : |
Analyse des données , Classification automatique , Données massives , Fouille de données , Statistique mathématique , Traitement des données
|
| Tags : |
Cluster analysis Data recovery |
| Index. décimale : |
829 Entrepôt de données - Data Warehouse |
| Résumé : |
This book presents a unified modeling approach for the most popular clustering methods: the K-Means and hierarchical techniques, especially for divisive clustering. It significantly expands coverage of the mathematics of data recovery, and includes a new chapter covering more recent popular network clustering approaches—spectral, modularity and uniform, additive, and consensus—treated within the same data recovery approach. Another added chapter covers cluster validation and interpretation, including recent developments for ontology-driven interpretation of clusters. Altogether, the insertions added a hundred pages to the book, even in spite of the fact that fragments unrelated to the main topics were removed. [D'après le résumé de l'éditeur] |
| Note de contenu : |
Hardback = ISBN: 978-1-4398-3841-9 (Published October 17, 2012 )
Paperback (Copyright 2013) = ISBN: 978-0-367-38079-3 (Published September 26, 2019)
Earlier ed. published under title: Clustering for data mining.
Mise à jour 03/09/20
|
| En ligne : |
https://www.routledge.com/Clustering-A-Data-Recovery-Approach-Second-Edition/Mir [...] |
| Permalink : |
https://genes.bibli.fr/index.php?lvl=notice_display&id=150231 |
|  |
Ajouter le résultat dans votre panier Faire une suggestion Affiner la rechercheClustering for data mining / Boca Raton, FL ; Londres : Chapman and Hall/CRC Press (2005)
