Introduction to clustering large and high-dimensional data /:
This book focuses on a few of the most important clustering algorithms, providing a detailed account of these major models in an information retrieval context. The beginning chapters introduce the classic algorithms in detail, while the later chapters describe clustering through divergences and show...
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1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cambridge ; New York :
Cambridge University Press,
2007.
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Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | This book focuses on a few of the most important clustering algorithms, providing a detailed account of these major models in an information retrieval context. The beginning chapters introduce the classic algorithms in detail, while the later chapters describe clustering through divergences and show recent research for more advanced audiences. |
Beschreibung: | 1 online resource (xvi, 205 pages) : illustrations |
Bibliographie: | Includes bibliographical references (pages 189-201) and index. |
ISBN: | 9780511257483 0511257481 0511254806 9780511254802 0521617936 9780521617932 0521852676 9780521852678 0511256981 9780511256981 9780511256479 0511256477 1280709944 9781280709944 9786610709946 6610709947 0511319606 9780511319600 |
Internformat
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650 | 0 | |a Dimensional analysis |x Data processing. | |
650 | 0 | |a Dimensional analysis |x Computer programs. |0 http://id.loc.gov/authorities/subjects/sh85038037 | |
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adam_text | |
any_adam_object | |
author | Kogan, Jacob, 1954- |
author_GND | http://id.loc.gov/authorities/names/n85260846 |
author_facet | Kogan, Jacob, 1954- |
author_role | |
author_sort | Kogan, Jacob, 1954- |
author_variant | j k jk |
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callnumber-first | Q - Science |
callnumber-label | QA278 |
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collection | ZDB-4-EBA |
contents | Cover; Half-title; Title; Copyright; Dedication; Contents; Foreword; Preface; 1 Introduction and motivation; 2 Quadratic k-means algorithm; 3 BIRCH; 4 Spherical k-means algorithm; 5 Linear algebra techniques; 6 Information theoretic clustering; 7 Clustering with optimization techniques; 8 k-means clustering with divergences; 9 Assessment of clustering results; 10 Appendix: Optimization and linear algebra background; 11 Solutions to selected problems; Bibliography; Index. |
ctrlnum | (OCoLC)161895664 |
dewey-full | 519.5/3 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 519 - Probabilities and applied mathematics |
dewey-raw | 519.5/3 |
dewey-search | 519.5/3 |
dewey-sort | 3519.5 13 |
dewey-tens | 510 - Mathematics |
discipline | Mathematik |
format | Electronic eBook |
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id | ZDB-4-EBA-ocn161895664 |
illustrated | Illustrated |
indexdate | 2024-11-27T13:16:05Z |
institution | BVB |
isbn | 9780511257483 0511257481 0511254806 9780511254802 0521617936 9780521617932 0521852676 9780521852678 0511256981 9780511256981 9780511256479 0511256477 1280709944 9781280709944 9786610709946 6610709947 0511319606 9780511319600 |
language | English |
oclc_num | 161895664 |
open_access_boolean | |
owner | MAIN DE-863 DE-BY-FWS |
owner_facet | MAIN DE-863 DE-BY-FWS |
physical | 1 online resource (xvi, 205 pages) : illustrations |
psigel | ZDB-4-EBA |
publishDate | 2007 |
publishDateSearch | 2007 |
publishDateSort | 2007 |
publisher | Cambridge University Press, |
record_format | marc |
spelling | Kogan, Jacob, 1954- https://id.oclc.org/worldcat/entity/E39PCjrr8yvfWhbqxKvyKJhbVC http://id.loc.gov/authorities/names/n85260846 Introduction to clustering large and high-dimensional data / Jacob Kogan. Cambridge ; New York : Cambridge University Press, 2007. 1 online resource (xvi, 205 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references (pages 189-201) and index. Print version record. Cover; Half-title; Title; Copyright; Dedication; Contents; Foreword; Preface; 1 Introduction and motivation; 2 Quadratic k-means algorithm; 3 BIRCH; 4 Spherical k-means algorithm; 5 Linear algebra techniques; 6 Information theoretic clustering; 7 Clustering with optimization techniques; 8 k-means clustering with divergences; 9 Assessment of clustering results; 10 Appendix: Optimization and linear algebra background; 11 Solutions to selected problems; Bibliography; Index. This book focuses on a few of the most important clustering algorithms, providing a detailed account of these major models in an information retrieval context. The beginning chapters introduce the classic algorithms in detail, while the later chapters describe clustering through divergences and show recent research for more advanced audiences. English. Cluster analysis Data processing. Cluster analysis Computer programs. http://id.loc.gov/authorities/subjects/sh85027251 Computer algorithms. http://id.loc.gov/authorities/subjects/sh91000149 Dimensional analysis Data processing. Dimensional analysis Computer programs. http://id.loc.gov/authorities/subjects/sh85038037 Algorithms. http://id.loc.gov/authorities/subjects/sh85003487 Classification automatique (Statistique) Informatique. Algorithmes. Analyse dimensionnelle Informatique. algorithms. aat MATHEMATICS Probability & Statistics General. bisacsh Algorithms fast Cluster analysis Computer programs fast Cluster analysis Data processing fast Computer algorithms fast Dimensional analysis Computer programs fast has work: Introduction to clustering large and high-dimensional data (Text) https://id.oclc.org/worldcat/entity/E39PCGM3cx4rypRfXRCVH3dGH3 https://id.oclc.org/worldcat/ontology/hasWork Print version: Kogan, Jacob, 1954- Introduction to clustering large and high-dimensional data. Cambridge ; New York : Cambridge University Press, 2007 0521852676 9780521852678 (DLC) 2006024381 (OCoLC)70707967 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=178887 Volltext |
spellingShingle | Kogan, Jacob, 1954- Introduction to clustering large and high-dimensional data / Cover; Half-title; Title; Copyright; Dedication; Contents; Foreword; Preface; 1 Introduction and motivation; 2 Quadratic k-means algorithm; 3 BIRCH; 4 Spherical k-means algorithm; 5 Linear algebra techniques; 6 Information theoretic clustering; 7 Clustering with optimization techniques; 8 k-means clustering with divergences; 9 Assessment of clustering results; 10 Appendix: Optimization and linear algebra background; 11 Solutions to selected problems; Bibliography; Index. Cluster analysis Data processing. Cluster analysis Computer programs. http://id.loc.gov/authorities/subjects/sh85027251 Computer algorithms. http://id.loc.gov/authorities/subjects/sh91000149 Dimensional analysis Data processing. Dimensional analysis Computer programs. http://id.loc.gov/authorities/subjects/sh85038037 Algorithms. http://id.loc.gov/authorities/subjects/sh85003487 Classification automatique (Statistique) Informatique. Algorithmes. Analyse dimensionnelle Informatique. algorithms. aat MATHEMATICS Probability & Statistics General. bisacsh Algorithms fast Cluster analysis Computer programs fast Cluster analysis Data processing fast Computer algorithms fast Dimensional analysis Computer programs fast |
subject_GND | http://id.loc.gov/authorities/subjects/sh85027251 http://id.loc.gov/authorities/subjects/sh91000149 http://id.loc.gov/authorities/subjects/sh85038037 http://id.loc.gov/authorities/subjects/sh85003487 |
title | Introduction to clustering large and high-dimensional data / |
title_auth | Introduction to clustering large and high-dimensional data / |
title_exact_search | Introduction to clustering large and high-dimensional data / |
title_full | Introduction to clustering large and high-dimensional data / Jacob Kogan. |
title_fullStr | Introduction to clustering large and high-dimensional data / Jacob Kogan. |
title_full_unstemmed | Introduction to clustering large and high-dimensional data / Jacob Kogan. |
title_short | Introduction to clustering large and high-dimensional data / |
title_sort | introduction to clustering large and high dimensional data |
topic | Cluster analysis Data processing. Cluster analysis Computer programs. http://id.loc.gov/authorities/subjects/sh85027251 Computer algorithms. http://id.loc.gov/authorities/subjects/sh91000149 Dimensional analysis Data processing. Dimensional analysis Computer programs. http://id.loc.gov/authorities/subjects/sh85038037 Algorithms. http://id.loc.gov/authorities/subjects/sh85003487 Classification automatique (Statistique) Informatique. Algorithmes. Analyse dimensionnelle Informatique. algorithms. aat MATHEMATICS Probability & Statistics General. bisacsh Algorithms fast Cluster analysis Computer programs fast Cluster analysis Data processing fast Computer algorithms fast Dimensional analysis Computer programs fast |
topic_facet | Cluster analysis Data processing. Cluster analysis Computer programs. Computer algorithms. Dimensional analysis Data processing. Dimensional analysis Computer programs. Algorithms. Classification automatique (Statistique) Informatique. Algorithmes. Analyse dimensionnelle Informatique. algorithms. MATHEMATICS Probability & Statistics General. Algorithms Cluster analysis Computer programs Cluster analysis Data processing Computer algorithms Dimensional analysis Computer programs |
url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=178887 |
work_keys_str_mv | AT koganjacob introductiontoclusteringlargeandhighdimensionaldata |