Elementary cluster analysis: four basic methods that (usually) work
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Gistrup, Denmark
River Publishers
[2022]
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Schriftenreihe: | River Publishers series in mathematics, statistics and computational modelling
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Schlagworte: | |
Online-Zugang: | FHI01 Volltext |
Beschreibung: | 1 Online-Ressource (xlvii, 467 Seiten) Illustrationen, Diagramme |
ISBN: | 8770224242 9788770224246 |
Internformat
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100 | 1 | |a Bezdek, James C. |d 1939- |e Verfasser |0 (DE-588)171214811 |4 aut | |
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505 | 8 | |a <P>I The Art and Science of Clustering 1 Clusters: The Human Point of View (HPOV) 2 Uncertainty: Fuzzy Sets and Models 3 Clusters: The Computer Point of View (CPOV) 4 The Three Canonical Problems 5 Feature Analysis II Four Basic Models and Algorithms 6 The c-Means (aka k-Means) Models 7 Probabilistic Clustering -- GMD/EM 8 Relational Clustering -- The SAHN Models 9 Properties of the Fantastic Four: External Cluster Validity 10 Alternating Optimization 11 Clustering in Static Big Data 12 Structural Assessment in Streaming Data</P> | |
653 | 0 | |a Cluster analysis | |
653 | 0 | |a Cluster analysis / Data processing | |
653 | 0 | |a Classification automatique (Statistique) | |
653 | 0 | |a Classification automatique (Statistique) / Informatique | |
653 | 0 | |a Cluster analysis | |
653 | 0 | |a Cluster analysis / Data processing | |
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Datensatz im Suchindex
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author | Bezdek, James C. 1939- |
author_GND | (DE-588)171214811 |
author_facet | Bezdek, James C. 1939- |
author_role | aut |
author_sort | Bezdek, James C. 1939- |
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bvnumber | BV049484316 |
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contents | <P>I The Art and Science of Clustering 1 Clusters: The Human Point of View (HPOV) 2 Uncertainty: Fuzzy Sets and Models 3 Clusters: The Computer Point of View (CPOV) 4 The Three Canonical Problems 5 Feature Analysis II Four Basic Models and Algorithms 6 The c-Means (aka k-Means) Models 7 Probabilistic Clustering -- GMD/EM 8 Relational Clustering -- The SAHN Models 9 Properties of the Fantastic Four: External Cluster Validity 10 Alternating Optimization 11 Clustering in Static Big Data 12 Structural Assessment in Streaming Data</P> |
ctrlnum | (OCoLC)1418706525 (DE-599)BVBBV049484316 |
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illustrated | Not Illustrated |
index_date | 2024-07-03T23:18:38Z |
indexdate | 2024-07-10T10:08:34Z |
institution | BVB |
isbn | 8770224242 9788770224246 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034829736 |
oclc_num | 1418706525 |
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physical | 1 Online-Ressource (xlvii, 467 Seiten) Illustrationen, Diagramme |
psigel | ZDB-37-RPEB |
publishDate | 2022 |
publishDateSearch | 2022 |
publishDateSort | 2022 |
publisher | River Publishers |
record_format | marc |
series2 | River Publishers series in mathematics, statistics and computational modelling |
spelling | Bezdek, James C. 1939- Verfasser (DE-588)171214811 aut Elementary cluster analysis four basic methods that (usually) work Gistrup, Denmark River Publishers [2022] 1 Online-Ressource (xlvii, 467 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier River Publishers series in mathematics, statistics and computational modelling <P>I The Art and Science of Clustering 1 Clusters: The Human Point of View (HPOV) 2 Uncertainty: Fuzzy Sets and Models 3 Clusters: The Computer Point of View (CPOV) 4 The Three Canonical Problems 5 Feature Analysis II Four Basic Models and Algorithms 6 The c-Means (aka k-Means) Models 7 Probabilistic Clustering -- GMD/EM 8 Relational Clustering -- The SAHN Models 9 Properties of the Fantastic Four: External Cluster Validity 10 Alternating Optimization 11 Clustering in Static Big Data 12 Structural Assessment in Streaming Data</P> Cluster analysis Cluster analysis / Data processing Classification automatique (Statistique) Classification automatique (Statistique) / Informatique Erscheint auch als Druck-Ausgabe 978-87-70224-25-3 https://ieeexplore.ieee.org/book/9754299 Aggregator URL des Erstveröffentlichers Volltext |
spellingShingle | Bezdek, James C. 1939- Elementary cluster analysis four basic methods that (usually) work <P>I The Art and Science of Clustering 1 Clusters: The Human Point of View (HPOV) 2 Uncertainty: Fuzzy Sets and Models 3 Clusters: The Computer Point of View (CPOV) 4 The Three Canonical Problems 5 Feature Analysis II Four Basic Models and Algorithms 6 The c-Means (aka k-Means) Models 7 Probabilistic Clustering -- GMD/EM 8 Relational Clustering -- The SAHN Models 9 Properties of the Fantastic Four: External Cluster Validity 10 Alternating Optimization 11 Clustering in Static Big Data 12 Structural Assessment in Streaming Data</P> |
title | Elementary cluster analysis four basic methods that (usually) work |
title_auth | Elementary cluster analysis four basic methods that (usually) work |
title_exact_search | Elementary cluster analysis four basic methods that (usually) work |
title_exact_search_txtP | Elementary cluster analysis four basic methods that (usually) work |
title_full | Elementary cluster analysis four basic methods that (usually) work |
title_fullStr | Elementary cluster analysis four basic methods that (usually) work |
title_full_unstemmed | Elementary cluster analysis four basic methods that (usually) work |
title_short | Elementary cluster analysis |
title_sort | elementary cluster analysis four basic methods that usually work |
title_sub | four basic methods that (usually) work |
url | https://ieeexplore.ieee.org/book/9754299 |
work_keys_str_mv | AT bezdekjamesc elementaryclusteranalysisfourbasicmethodsthatusuallywork |