Data clustering algorithms and applications
This title covers clustering, from basic methods to more refined and complex data clustering approaches, paying special attention to recent issues in graphs, social networks, and other domains. It presents core methods for data clustering, including probabilistic, density- and grid-based, and spectr...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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Boca Raton, FL
CRC Press
2014
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| Schriftenreihe: | Chapman & Hall/CRC data mining and knowledge discovery series
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| Online-Zugang: | lizenzpflichtig |
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| 245 | 1 | 0 | |a Data clustering |b algorithms and applications |c edited by Charu C. Aggarwal, Chandan K. Reddy |
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| 520 | |a This title covers clustering, from basic methods to more refined and complex data clustering approaches, paying special attention to recent issues in graphs, social networks, and other domains. It presents core methods for data clustering, including probabilistic, density- and grid-based, and spectral clustering and explores various problems and scenarios pertaining to multimedia, text, biological, categorical, network, streams, and uncertain data. | ||
| 650 | 0 | |a Document clustering | |
| 650 | 0 | |a Cluster analysis | |
| 650 | 0 | |a Data mining | |
| 650 | 0 | |a Machine theory | |
| 650 | 0 | |a File organization (Computer science) | |
| 650 | 2 | |a Data Mining | |
| 650 | 4 | |a Regroupement des documents (Informatique) | |
| 650 | 4 | |a Classification automatique (Statistique) | |
| 650 | 4 | |a Exploration de données (Informatique) | |
| 650 | 4 | |a Théorie des automates | |
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| 650 | 4 | |a COMPUTERS / Database Management / Data Mining | |
| 650 | 4 | |a COMPUTERS / Machine Theory | |
| 650 | 4 | |a characteristics of clustering problems | |
| 650 | 4 | |a grid-based clustering | |
| 650 | 4 | |a high-dimensional clustering | |
| 650 | 4 | |a methods for data clustering | |
| 650 | 4 | |a spectral clustering | |
| 650 | 4 | |a variations of the clustering process | |
| 650 | 4 | |a Cluster analysis | |
| 650 | 4 | |a Data mining | |
| 650 | 4 | |a Document clustering | |
| 650 | 4 | |a File organization (Computer science) | |
| 650 | 4 | |a Machine theory | |
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| id | ZDB-30-ORH-047598352 |
| illustrated | Illustrated |
| indexdate | 2024-12-18T08:47:50Z |
| institution | BVB |
| isbn | 1466558210 9781466558212 9781466558229 1466558229 9781322631028 1322631026 |
| language | English |
| open_access_boolean | |
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| physical | 1 online resource (xxvi, 620 pages) illustrations |
| psigel | ZDB-30-ORH |
| publishDate | 2014 |
| publishDateSearch | 2014 |
| publishDateSort | 2014 |
| publisher | CRC Press |
| record_format | marc |
| series2 | Chapman & Hall/CRC data mining and knowledge discovery series |
| spelling | Data clustering algorithms and applications edited by Charu C. Aggarwal, Chandan K. Reddy Boca Raton, FL CRC Press 2014 1 online resource (xxvi, 620 pages) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Chapman & Hall/CRC data mining and knowledge discovery series "A Chapman & Hall book.". - Includes bibliographical references. - Print version record This title covers clustering, from basic methods to more refined and complex data clustering approaches, paying special attention to recent issues in graphs, social networks, and other domains. It presents core methods for data clustering, including probabilistic, density- and grid-based, and spectral clustering and explores various problems and scenarios pertaining to multimedia, text, biological, categorical, network, streams, and uncertain data. Document clustering Cluster analysis Data mining Machine theory File organization (Computer science) Data Mining Regroupement des documents (Informatique) Classification automatique (Statistique) Exploration de données (Informatique) Théorie des automates Fichiers (Informatique) ; Organisation COMPUTERS / Database Management / Data Mining COMPUTERS / Machine Theory characteristics of clustering problems grid-based clustering high-dimensional clustering methods for data clustering spectral clustering variations of the clustering process Aggarwal, Charu C. MitwirkendeR ctb Reddy, Chandan K. 1980- MitwirkendeR ctb 9781466558212 Erscheint auch als Druck-Ausgabe 9781466558212 TUM01 ZDB-30-ORH TUM_PDA_ORH https://learning.oreilly.com/library/view/-/9781466558229/?ar X:ORHE Aggregator lizenzpflichtig Volltext |
| spellingShingle | Data clustering algorithms and applications Document clustering Cluster analysis Data mining Machine theory File organization (Computer science) Data Mining Regroupement des documents (Informatique) Classification automatique (Statistique) Exploration de données (Informatique) Théorie des automates Fichiers (Informatique) ; Organisation COMPUTERS / Database Management / Data Mining COMPUTERS / Machine Theory characteristics of clustering problems grid-based clustering high-dimensional clustering methods for data clustering spectral clustering variations of the clustering process |
| title | Data clustering algorithms and applications |
| title_auth | Data clustering algorithms and applications |
| title_exact_search | Data clustering algorithms and applications |
| title_full | Data clustering algorithms and applications edited by Charu C. Aggarwal, Chandan K. Reddy |
| title_fullStr | Data clustering algorithms and applications edited by Charu C. Aggarwal, Chandan K. Reddy |
| title_full_unstemmed | Data clustering algorithms and applications edited by Charu C. Aggarwal, Chandan K. Reddy |
| title_short | Data clustering |
| title_sort | data clustering algorithms and applications |
| title_sub | algorithms and applications |
| topic | Document clustering Cluster analysis Data mining Machine theory File organization (Computer science) Data Mining Regroupement des documents (Informatique) Classification automatique (Statistique) Exploration de données (Informatique) Théorie des automates Fichiers (Informatique) ; Organisation COMPUTERS / Database Management / Data Mining COMPUTERS / Machine Theory characteristics of clustering problems grid-based clustering high-dimensional clustering methods for data clustering spectral clustering variations of the clustering process |
| topic_facet | Document clustering Cluster analysis Data mining Machine theory File organization (Computer science) Data Mining Regroupement des documents (Informatique) Classification automatique (Statistique) Exploration de données (Informatique) Théorie des automates Fichiers (Informatique) ; Organisation COMPUTERS / Database Management / Data Mining COMPUTERS / Machine Theory characteristics of clustering problems grid-based clustering high-dimensional clustering methods for data clustering spectral clustering variations of the clustering process |
| url | https://learning.oreilly.com/library/view/-/9781466558229/?ar |
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