Detection of the Number of Clusters through Non‐Parametric Clustering Algorithms
This chapter contains sections titled: Introduction New hierarchical pole‐based clustering algorithm Evaluation Datasets Summary
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| description | This chapter contains sections titled:
Introduction
New hierarchical pole‐based clustering algorithm
Evaluation
Datasets
Summary |
| doi_str_mv | 10.1002/9781118557693.ch5 |
| format | Book Chapter |
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Introduction
New hierarchical pole‐based clustering algorithm
Evaluation
Datasets
Summary</description><identifier>ISBN: 1848212038</identifier><identifier>ISBN: 9781848212039</identifier><identifier>EISBN: 1118557697</identifier><identifier>EISBN: 9781118557693</identifier><identifier>DOI: 10.1002/9781118557693.ch5</identifier><language>eng</language><publisher>Hoboken, NJ, USA: John Wiley & Sons, Inc</publisher><subject>cluster evaluation metrics ; cluster numbers through non‐parametric ; new hierarchical pole‐based, algorithm ; PoBOC/HPoBC complexity, and pole No./size ; unsupervised, algorithms for optimal clusters</subject><ispartof>Semi‐Supervised and Unsupervised Machine Learning, 2013, p.183-197</ispartof><rights>Copyright © ISTE Ltd 2011</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>779,780,784,793,24781,27925</link.rule.ids></links><search><contributor>Albalate, Amparo</contributor><contributor>Minker, Wolfgang</contributor><title>Detection of the Number of Clusters through Non‐Parametric Clustering Algorithms</title><title>Semi‐Supervised and Unsupervised Machine Learning</title><description>This chapter contains sections titled:
Introduction
New hierarchical pole‐based clustering algorithm
Evaluation
Datasets
Summary</description><subject>cluster evaluation metrics</subject><subject>cluster numbers through non‐parametric</subject><subject>new hierarchical pole‐based, algorithm</subject><subject>PoBOC/HPoBC complexity, and pole No./size</subject><subject>unsupervised, algorithms for optimal clusters</subject><isbn>1848212038</isbn><isbn>9781848212039</isbn><isbn>1118557697</isbn><isbn>9781118557693</isbn><fulltext>true</fulltext><rsrctype>book_chapter</rsrctype><creationdate>2013</creationdate><recordtype>book_chapter</recordtype><sourceid/><recordid>eNpjYJA0NNAzNDAw0rc0tzA0NLQwNTU3szTWS84wZWTggguYMwM5FiYWRoZGBsYWHAy8xcVZBkBgYWFsYWTByRDkklqSmlySmZ-nkJ-mUJKRquBXmpuUWgTiOeeUFpekFhUDhYvyS9MzFPzy8x41TAhILErMTS0pykyGqcjMS1dwzEnPL8osycgt5mFgTUvMKU7lhdLcDIZuriHOHrrlmTmplfGpSfn52cXxhgbxINfHo7g-Huh6EDbmZtDFogdVbVVmAVh9QUqaMTl2AADHZV3P</recordid><startdate>20130228</startdate><enddate>20130228</enddate><general>John Wiley & Sons, Inc</general><scope/></search><sort><creationdate>20130228</creationdate><title>Detection of the Number of Clusters through Non‐Parametric Clustering Algorithms</title></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-wiley_ebooks_10_1002_9781118557693_ch5_ch53</frbrgroupid><rsrctype>book_chapters</rsrctype><prefilter>book_chapters</prefilter><language>eng</language><creationdate>2013</creationdate><topic>cluster evaluation metrics</topic><topic>cluster numbers through non‐parametric</topic><topic>new hierarchical pole‐based, algorithm</topic><topic>PoBOC/HPoBC complexity, and pole No./size</topic><topic>unsupervised, algorithms for optimal clusters</topic><toplevel>online_resources</toplevel></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Albalate, Amparo</au><au>Minker, Wolfgang</au><format>book</format><genre>bookitem</genre><ristype>CHAP</ristype><atitle>Detection of the Number of Clusters through Non‐Parametric Clustering Algorithms</atitle><btitle>Semi‐Supervised and Unsupervised Machine Learning</btitle><date>2013-02-28</date><risdate>2013</risdate><spage>183</spage><epage>197</epage><pages>183-197</pages><isbn>1848212038</isbn><isbn>9781848212039</isbn><eisbn>1118557697</eisbn><eisbn>9781118557693</eisbn><abstract>This chapter contains sections titled:
Introduction
New hierarchical pole‐based clustering algorithm
Evaluation
Datasets
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| fulltext | fulltext |
| identifier | ISBN: 1848212038 |
| ispartof | Semi‐Supervised and Unsupervised Machine Learning, 2013, p.183-197 |
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| language | eng |
| recordid | cdi_wiley_ebooks_10_1002_9781118557693_ch5_ch5 |
| source | O'Reilly Online Learning: Academic/Public Library Edition |
| subjects | cluster evaluation metrics cluster numbers through non‐parametric new hierarchical pole‐based, algorithm PoBOC/HPoBC complexity, and pole No./size unsupervised, algorithms for optimal clusters |
| title | Detection of the Number of Clusters through Non‐Parametric Clustering Algorithms |
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