Clustering

This is the first book to take a truly comprehensive look at clustering. It begins with an introduction to cluster analysis and goes on to explore: proximity measures; hierarchical clustering; partition clustering; neural network-based clustering; kernel-based clustering; sequential data clustering;...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Xu, Rui, Wunsch, Don
Format: Buch
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume 10
creator Xu, Rui
Wunsch, Don
description This is the first book to take a truly comprehensive look at clustering. It begins with an introduction to cluster analysis and goes on to explore: proximity measures; hierarchical clustering; partition clustering; neural network-based clustering; kernel-based clustering; sequential data clustering; large-scale data clustering; data visualization and high-dimensional data clustering; and cluster validation. The authors assume no previous background in clustering and their generous inclusion of examples and references help make the subject matter comprehensible for readers of varying levels and backgrounds.
doi_str_mv 10.1002/9780470382776
format Book
fullrecord <record><control><sourceid>proquest_skill</sourceid><recordid>TN_cdi_skillsoft_books24x7_bks00027271</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5236612</ieee_id><sourcerecordid>EBC380554</sourcerecordid><originalsourceid>FETCH-LOGICAL-a61346-e2613fafb613a195e047c17c7745a39fdec1c6ae2c0b5dc1e11f5c59880c99883</originalsourceid><addsrcrecordid>eNpNkE1Lw0AQhldEsdYePXj1IHio7vfsHm2oWih4EcXTstlOamxsajYB_fduSanOYV5e5mG-CDln9IZRym8tGCqBCsMB9AEZ_fNGHO49B22oOSYDKYBLJi09IaMYP2gKxoXlckBOs6qLLTblenlGjgpfRRztdEhe7qfP2eN4_vQwy-7mY6-ZkHqMPGnhizyJZ1ZhmhUYBACpvLDFAgML2iMPNFeLwJCxQgVljaHBpiyG5KpvHFdlVcW6aF1e16vI5Te4fBXTehw4sD9w09RfHcbW4RYMuG4bX7npJBOGKiUTeN2D5XLT5VUZ39M9btOUn775ca-z-fRtsj1aM53Yix2LiP1gp7jQOr1kSC77Wij9elHvO_RWGpBciV83i2py</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>book</recordtype><pqid>EBC380554</pqid></control><display><type>book</type><title>Clustering</title><source>Wiley Online Library All Obooks</source><creator>Xu, Rui ; Wunsch, Don</creator><creatorcontrib>Xu, Rui ; Wunsch, Don</creatorcontrib><description>This is the first book to take a truly comprehensive look at clustering. It begins with an introduction to cluster analysis and goes on to explore: proximity measures; hierarchical clustering; partition clustering; neural network-based clustering; kernel-based clustering; sequential data clustering; large-scale data clustering; data visualization and high-dimensional data clustering; and cluster validation. The authors assume no previous background in clustering and their generous inclusion of examples and references help make the subject matter comprehensible for readers of varying levels and backgrounds.</description><edition>1. Aufl.</edition><identifier>ISBN: 9780470276808</identifier><identifier>ISBN: 0470276800</identifier><identifier>ISBN: 0470382783</identifier><identifier>ISBN: 9780470382783</identifier><identifier>EISBN: 9780470382783</identifier><identifier>EISBN: 0470382783</identifier><identifier>EISBN: 9780470382776</identifier><identifier>EISBN: 0470382775</identifier><identifier>DOI: 10.1002/9780470382776</identifier><identifier>OCLC: 437241490</identifier><identifier>LCCallNum: QA278 .X87 2009eb</identifier><language>eng</language><publisher>Newark: Wiley-IEEE Press</publisher><subject>Cluster analysis ; Computing and Processing ; Data processing ; Mathematics ; Probability &amp; Statistics</subject><creationdate>2008</creationdate><tpages>400</tpages><format>400</format><rights>2009 IEEE</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a61346-e2613fafb613a195e047c17c7745a39fdec1c6ae2c0b5dc1e11f5c59880c99883</citedby><relation>IEEE Press Series on Computational Intelligence</relation></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://portal.igpublish.com/iglibrary/amazonbuffer/WILEYB0001616_null_0_320.png</thumbnail><link.rule.ids>306,780,784,786,27925</link.rule.ids></links><search><creatorcontrib>Xu, Rui</creatorcontrib><creatorcontrib>Wunsch, Don</creatorcontrib><title>Clustering</title><description>This is the first book to take a truly comprehensive look at clustering. It begins with an introduction to cluster analysis and goes on to explore: proximity measures; hierarchical clustering; partition clustering; neural network-based clustering; kernel-based clustering; sequential data clustering; large-scale data clustering; data visualization and high-dimensional data clustering; and cluster validation. The authors assume no previous background in clustering and their generous inclusion of examples and references help make the subject matter comprehensible for readers of varying levels and backgrounds.</description><subject>Cluster analysis</subject><subject>Computing and Processing</subject><subject>Data processing</subject><subject>Mathematics</subject><subject>Probability &amp; Statistics</subject><isbn>9780470276808</isbn><isbn>0470276800</isbn><isbn>0470382783</isbn><isbn>9780470382783</isbn><isbn>9780470382783</isbn><isbn>0470382783</isbn><isbn>9780470382776</isbn><isbn>0470382775</isbn><fulltext>true</fulltext><rsrctype>book</rsrctype><creationdate>2008</creationdate><recordtype>book</recordtype><recordid>eNpNkE1Lw0AQhldEsdYePXj1IHio7vfsHm2oWih4EcXTstlOamxsajYB_fduSanOYV5e5mG-CDln9IZRym8tGCqBCsMB9AEZ_fNGHO49B22oOSYDKYBLJi09IaMYP2gKxoXlckBOs6qLLTblenlGjgpfRRztdEhe7qfP2eN4_vQwy-7mY6-ZkHqMPGnhizyJZ1ZhmhUYBACpvLDFAgML2iMPNFeLwJCxQgVljaHBpiyG5KpvHFdlVcW6aF1e16vI5Te4fBXTehw4sD9w09RfHcbW4RYMuG4bX7npJBOGKiUTeN2D5XLT5VUZ39M9btOUn775ca-z-fRtsj1aM53Yix2LiP1gp7jQOr1kSC77Wij9elHvO_RWGpBciV83i2py</recordid><startdate>2008</startdate><enddate>2008</enddate><creator>Xu, Rui</creator><creator>Wunsch, Don</creator><general>Wiley-IEEE Press</general><general>John Wiley &amp; Sons</general><general>WILEY</general><general>John Wiley &amp; Sons, Incorporated</general><general>IEEE Press</general><general>John Wiley &amp; Sons, Inc</general><scope>08O</scope><scope>WIIVT</scope></search><sort><creationdate>2008</creationdate><title>Clustering</title><author>Xu, Rui ; Wunsch, Don</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a61346-e2613fafb613a195e047c17c7745a39fdec1c6ae2c0b5dc1e11f5c59880c99883</frbrgroupid><rsrctype>books</rsrctype><prefilter>books</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Cluster analysis</topic><topic>Computing and Processing</topic><topic>Data processing</topic><topic>Mathematics</topic><topic>Probability &amp; Statistics</topic><toplevel>online_resources</toplevel><creatorcontrib>Xu, Rui</creatorcontrib><creatorcontrib>Wunsch, Don</creatorcontrib><collection>ciando eBooks</collection><collection>Wiley</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xu, Rui</au><au>Wunsch, Don</au><format>book</format><genre>book</genre><ristype>BOOK</ristype><btitle>Clustering</btitle><seriestitle>IEEE Press Series on Computational Intelligence</seriestitle><date>2008</date><risdate>2008</risdate><volume>10</volume><isbn>9780470276808</isbn><isbn>0470276800</isbn><isbn>0470382783</isbn><isbn>9780470382783</isbn><eisbn>9780470382783</eisbn><eisbn>0470382783</eisbn><eisbn>9780470382776</eisbn><eisbn>0470382775</eisbn><abstract>This is the first book to take a truly comprehensive look at clustering. It begins with an introduction to cluster analysis and goes on to explore: proximity measures; hierarchical clustering; partition clustering; neural network-based clustering; kernel-based clustering; sequential data clustering; large-scale data clustering; data visualization and high-dimensional data clustering; and cluster validation. The authors assume no previous background in clustering and their generous inclusion of examples and references help make the subject matter comprehensible for readers of varying levels and backgrounds.</abstract><cop>Newark</cop><pub>Wiley-IEEE Press</pub><doi>10.1002/9780470382776</doi><oclcid>437241490</oclcid><tpages>400</tpages><edition>1. Aufl.</edition></addata></record>
fulltext fulltext
identifier ISBN: 9780470276808
ispartof
issn
language eng
recordid cdi_skillsoft_books24x7_bks00027271
source Wiley Online Library All Obooks
subjects Cluster analysis
Computing and Processing
Data processing
Mathematics
Probability & Statistics
title Clustering
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-22T10%3A28%3A07IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_skill&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=book&rft.btitle=Clustering&rft.au=Xu,%20Rui&rft.date=2008&rft.volume=10&rft.isbn=9780470276808&rft.isbn_list=0470276800&rft.isbn_list=0470382783&rft.isbn_list=9780470382783&rft_id=info:doi/10.1002/9780470382776&rft_dat=%3Cproquest_skill%3EEBC380554%3C/proquest_skill%3E%3Curl%3E%3C/url%3E&rft.eisbn=9780470382783&rft.eisbn_list=0470382783&rft.eisbn_list=9780470382776&rft.eisbn_list=0470382775&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=EBC380554&rft_id=info:pmid/&rft_ieee_id=5236612&rfr_iscdi=true