Data clustering
algorithms and applications
by Charu C. Aggarwal and Chandan K. Reddy
- 5 Want to read
"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"--
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| Edition | Availability |
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1
Data Clustering: Algorithms and Applications
2018, Taylor & Francis Group
in English
1498785778 9781498785778
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2
Data Clustering: Algorithms and Applications
2018, Taylor & Francis Group
in English
1466558229 9781466558229
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3
Data Clustering: Algorithms and Applications
2018, Taylor & Francis Group
in English
1315373513 9781315373515
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4
Data Clustering: Algorithms and Applications
2018, Taylor & Francis Group
in English
1315360411 9781315360416
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5
Data Clustering: Algorithms and Applications
2018, Taylor & Francis Group
in English
1315362783 9781315362786
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6
Data clustering: algorithms and applications
2014, Chapman and Hall/CRC
in English
1466558210 9781466558212
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Book Details
Edition Notes
Includes bibliographical references (pages 602-605) and index.
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- Created November 13, 2020
- 6 revisions
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| October 6, 2024 | Edited by MARC Bot | import existing book |
| August 4, 2024 | Edited by bitnapper | merge authors |
| February 1, 2023 | Edited by ImportBot | import existing book |
| December 15, 2022 | Edited by MARC Bot | import existing book |
| November 13, 2020 | Created by MARC Bot | Imported from Library of Congress MARC record |