Articoli correlati a Data Clustering: Theory, Algorithms, and Applications

Data Clustering: Theory, Algorithms, and Applications - Brossura

Guojun Gan (author), Chaoqun Ma (author) & Jianhong Wu (author)

 
9781611976328: Data Clustering: Theory, Algorithms, and Applications
Brossura
ISBN 10: 1611976324 ISBN 13: 9781611976328
Casa editrice: SIAM - Society for Industrial and Applied Mathematics, 2020

Sinossi

Data clustering, also known as cluster analysis, is an unsupervised process that divides a set of objects into homogeneous groups. Since the publication of the first edition of this monograph in 2007, development in the area has exploded, especially in clustering algorithms for big data and open-source software for cluster analysis. This second edition reflects these new developments.

Data Clustering: Theory, Algorithms, and Applications, Second Edition:

  • covers the basics of data clustering,
  • includes a list of popular clustering algorithms, and
  • provides program code that helps users implement clustering algorithms.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Editore
SIAM - Society for Industrial and Applied Mathematics
Data di pubblicazione
2020
Lingua
Inglese
ISBN 10 
1611976324
ISBN 13 
9781611976328
Rilegatura
Copertina flessibile
Numero edizione
2
Numero di pagine
406
Contatto del produttore
non disponibile
Persona responsabile
non disponibile