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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Principais autores: Aggarwal, Charu C., Reddy, Chandan K.
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Endereço do item:https://app.bczm.ufrn.br/home/#/item/234298
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spelling oai:localhost:123456789-2185502022-10-12T00:01:09Z 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 ©2015 Livro 004.62 D232 9781466558212 (enc.) 234298 https://app.bczm.ufrn.br/home/#/item/234298 https://app.bczm.ufrn.br/home/#/item/234298
institution Acervo SISBI
collection SIGAA
topic 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)
spellingShingle 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/234298
work_keys_str_mv AT aggarwalcharuc dataclusteringalgorithmsandapplications
AT reddychandank dataclusteringalgorithmsandapplications
_version_ 1766822787297574912