Data clustering : algorithms and applications /
"Clustering is a diverse topic, and the underlying algorithms depend greatly on the data domain and problem scenario. This book focuses on three primary aspects of data clustering: the core methods such as probabilistic, density-based, grid-based, and spectral clustering etc; different problem...
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oai:localhost:123456789-2185492022-10-12T00:01:08Z Data clustering : algorithms and applications / Aggarwal, Charu C., Reddy, Chandan K., Document clustering. Cluster analysis. Data mining. Machine theory. File organization (Computer science) COMPUTERS / Database Management / Data Mining. COMPUTERS / Machine Theory. Mineração de dados Organização de arquivos (Informática) "Clustering is a diverse topic, and the underlying algorithms depend greatly on the data domain and problem scenario. This book focuses on three primary aspects of data clustering: the core methods such as probabilistic, density-based, grid-based, and spectral clustering etc; different problem domains and scenarios such as multimedia, text, biological, categorical, network, and uncertain data as well as data streams; and different detailed insights from the clustering process because of the subjectivity of the clustering process, and the many different ways in which the same data set can be clustered"-- 3 2022-10-12T00:01:08Z 2022-10-12T00:01:08Z ©2014 Livro 004.62 D232 9781466558212 (enc.) 234297 https://app.bczm.ufrn.br/home/#/item/234297 https://app.bczm.ufrn.br/home/#/item/234297 |
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Document clustering. Cluster analysis. Data mining. Machine theory. File organization (Computer science) COMPUTERS / Database Management / Data Mining. COMPUTERS / Machine Theory. Mineração de dados Organização de arquivos (Informática) |
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Document clustering. Cluster analysis. Data mining. Machine theory. File organization (Computer science) COMPUTERS / Database Management / Data Mining. COMPUTERS / Machine Theory. Mineração de dados Organização de arquivos (Informática) Aggarwal, Charu C., Reddy, Chandan K., Data clustering : algorithms and applications / |
description |
"Clustering is a diverse topic, and the underlying algorithms depend greatly on the data domain and problem scenario. This book focuses on three primary aspects of data clustering: the core methods such as probabilistic, density-based, grid-based, and spectral clustering etc; different problem domains and scenarios such as multimedia, text, biological, categorical, network, and uncertain data as well as data streams; and different detailed insights from the clustering process because of the subjectivity of the clustering process, and the many different ways in which the same data set can be clustered"-- |
format |
Livro |
author |
Aggarwal, Charu C., Reddy, Chandan K., |
author_facet |
Aggarwal, Charu C., Reddy, Chandan K., |
author_sort |
Aggarwal, Charu C., |
title |
Data clustering : algorithms and applications / |
title_short |
Data clustering : algorithms and applications / |
title_full |
Data clustering : algorithms and applications / |
title_fullStr |
Data clustering : algorithms and applications / |
title_full_unstemmed |
Data clustering : algorithms and applications / |
title_sort |
data clustering : algorithms and applications / |
publishDate |
2022 |
url |
https://app.bczm.ufrn.br/home/#/item/234297 |
work_keys_str_mv |
AT aggarwalcharuc dataclusteringalgorithmsandapplications AT reddychandank dataclusteringalgorithmsandapplications |
_version_ |
1766806643810500608 |