Clustering: theoretical and practical aspects
This unique compendium gives an updated presentation of clustering, one of the most challenging tasks in machine learning. The book provides a unitary presentation of classical and contemporary algorithms ranging from partitional and hierarchical clustering up to density-based clustering, clustering...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New Jersey ; London ; Singapore
World Scientific
[2022]
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| Schlagworte: | |
| Online-Zugang: | DE-573 DE-91 Volltext |
| Zusammenfassung: | This unique compendium gives an updated presentation of clustering, one of the most challenging tasks in machine learning. The book provides a unitary presentation of classical and contemporary algorithms ranging from partitional and hierarchical clustering up to density-based clustering, clustering of categorical data, and spectral clustering. Most of the mathematical background is provided in appendices, highlighting algebraic and complexity theory, in order to make this volume as self-contained as possible. A substantial number of exercises and supplements makes this a useful reference textbook for researchers and students. |
| Beschreibung: | 1 Online-Ressource (xv, 865 Seiten) Illustrationen |
| ISBN: | 9789811241208 9811241201 9789811241215 |
| DOI: | 10.1142/12394 |
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| dewey-hundreds | 500 - Natural sciences and mathematics |
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| dewey-tens | 510 - Mathematics |
| discipline | Informatik Mathematik |
| discipline_str_mv | Informatik Mathematik |
| doi_str_mv | 10.1142/12394 |
| format | Electronic eBook |
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| illustrated | Illustrated |
| index_date | 2024-07-03T18:05:18Z |
| indexdate | 2025-01-10T17:13:23Z |
| institution | BVB |
| isbn | 9789811241208 9811241201 9789811241215 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032859769 |
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| physical | 1 Online-Ressource (xv, 865 Seiten) Illustrationen |
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| publishDate | 2022 |
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| publisher | World Scientific |
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| spelling | Simovici, Dan A. Verfasser (DE-588)128892447 aut Clustering theoretical and practical aspects Dan A Simovici New Jersey ; London ; Singapore World Scientific [2022] © 2022 1 Online-Ressource (xv, 865 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier This unique compendium gives an updated presentation of clustering, one of the most challenging tasks in machine learning. The book provides a unitary presentation of classical and contemporary algorithms ranging from partitional and hierarchical clustering up to density-based clustering, clustering of categorical data, and spectral clustering. Most of the mathematical background is provided in appendices, highlighting algebraic and complexity theory, in order to make this volume as self-contained as possible. A substantial number of exercises and supplements makes this a useful reference textbook for researchers and students. Cluster analysis Cluster-Analyse (DE-588)4070044-6 gnd rswk-swf Electronic books Cluster-Analyse (DE-588)4070044-6 s DE-604 Erscheint auch als Druck-Ausgabe 9789811241192 Erscheint auch als Druck-Ausgabe 9811241198 https://doi.org/10.1142/12394 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Simovici, Dan A. Clustering theoretical and practical aspects Cluster analysis Cluster-Analyse (DE-588)4070044-6 gnd |
| subject_GND | (DE-588)4070044-6 |
| title | Clustering theoretical and practical aspects |
| title_auth | Clustering theoretical and practical aspects |
| title_exact_search | Clustering theoretical and practical aspects |
| title_exact_search_txtP | Clustering theoretical and practical aspects |
| title_full | Clustering theoretical and practical aspects Dan A Simovici |
| title_fullStr | Clustering theoretical and practical aspects Dan A Simovici |
| title_full_unstemmed | Clustering theoretical and practical aspects Dan A Simovici |
| title_short | Clustering |
| title_sort | clustering theoretical and practical aspects |
| title_sub | theoretical and practical aspects |
| topic | Cluster analysis Cluster-Analyse (DE-588)4070044-6 gnd |
| topic_facet | Cluster analysis Cluster-Analyse |
| url | https://doi.org/10.1142/12394 |
| work_keys_str_mv | AT simovicidana clusteringtheoreticalandpracticalaspects |