On the Use of Hierarchical Clustering for the Analysis of Nonsymmetric Proximities
Rao and Sabavala (1981) recently proposed a hierarchical clustering methodology applied to normalized brand switching matrices to assess competitive market structure We introduce a recently developed clustering method that appears to be more suited to the analysis of such nonsymmetric data, and desc...
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| Veröffentlicht in: | The Journal of consumer research 1984-06, Vol.11 (1), p.601-610 |
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| container_end_page | 610 |
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| container_issue | 1 |
| container_start_page | 601 |
| container_title | The Journal of consumer research |
| container_volume | 11 |
| creator | DeSarbo, Wayne S. De Soete, Geert |
| description | Rao and Sabavala (1981) recently proposed a hierarchical clustering methodology applied to normalized brand switching matrices to assess competitive market structure We introduce a recently developed clustering method that appears to be more suited to the analysis of such nonsymmetric data, and describe an application and comparison of the various approaches |
| doi_str_mv | 10.1086/208996 |
| format | Article |
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De Soete, Geert</creator><creatorcontrib>DeSarbo, Wayne S. ; De Soete, Geert</creatorcontrib><description>Rao and Sabavala (1981) recently proposed a hierarchical clustering methodology applied to normalized brand switching matrices to assess competitive market structure We introduce a recently developed clustering method that appears to be more suited to the analysis of such nonsymmetric data, and describe an application and comparison of the various approaches</description><identifier>ISSN: 0093-5301</identifier><identifier>EISSN: 1537-5277</identifier><identifier>DOI: 10.1086/208996</identifier><identifier>CODEN: JCSRBJ</identifier><language>eng</language><publisher>Oxford: Journal of Consumer Research</publisher><subject>Brand loyalty ; Brand switching ; Brands ; Cluster analysis ; Consumer behavior ; Consumer research ; Diet ; Financial market structures ; Market structure analysis ; Marketing strategies ; Research in Brief ; Soft drinks ; Sprites ; Statistical variance</subject><ispartof>The Journal of consumer research, 1984-06, Vol.11 (1), p.601-610</ispartof><rights>Copyright 1984 The Journal of Consumer Research, Inc.</rights><rights>Copyright University of Chicago, acting through its Press Jun 1984</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c267t-224b3428638ac0cbc86cda94a6ad88d6ce78a24012967103cab9fcf606c6a95f3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/2489147$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/2489147$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,776,780,799,27903,27904,57995,58228</link.rule.ids></links><search><creatorcontrib>DeSarbo, Wayne S.</creatorcontrib><creatorcontrib>De Soete, Geert</creatorcontrib><title>On the Use of Hierarchical Clustering for the Analysis of Nonsymmetric Proximities</title><title>The Journal of consumer research</title><description>Rao and Sabavala (1981) recently proposed a hierarchical clustering methodology applied to normalized brand switching matrices to assess competitive market structure We introduce a recently developed clustering method that appears to be more suited to the analysis of such nonsymmetric data, and describe an application and comparison of the various approaches</description><subject>Brand loyalty</subject><subject>Brand switching</subject><subject>Brands</subject><subject>Cluster analysis</subject><subject>Consumer behavior</subject><subject>Consumer research</subject><subject>Diet</subject><subject>Financial market structures</subject><subject>Market structure analysis</subject><subject>Marketing strategies</subject><subject>Research in Brief</subject><subject>Soft drinks</subject><subject>Sprites</subject><subject>Statistical variance</subject><issn>0093-5301</issn><issn>1537-5277</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1984</creationdate><recordtype>article</recordtype><recordid>eNo90M1KAzEUBeAgCtaqT-AiuHA3epPM5GdZilqhWBG7HtI0sSkzk5qkYN_eqSOu7ubjcO5B6JrAPQHJHyhIpfgJGpGKiaKiQpyiEYBiRcWAnKOLlLYAQICQEXpfdDhvLF4mi4PDM2-jjmbjjW7wtNmnbKPvPrEL8ZdNOt0ckk9H-xq6dGhbm6M3-C2Gb9_67G26RGdON8le_d0xWj49fkxnxXzx_DKdzAtDucgFpeWKlVRyJrUBszKSm7VWpeZ6LeWaGyukpiUQqrggwIxeKWccB264VpVjY3Q75O5i-NrblOtt2Me-YKopqaCP7n8eo7sBmRhSitbVu-hbHQ81gfo4Vz3M1cObAW5TDvFf0VIqUgr2A-VRZSI</recordid><startdate>19840601</startdate><enddate>19840601</enddate><creator>DeSarbo, Wayne S.</creator><creator>De Soete, Geert</creator><general>Journal of Consumer Research</general><general>Oxford University Press</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>19840601</creationdate><title>On the Use of Hierarchical Clustering for the Analysis of Nonsymmetric Proximities</title><author>DeSarbo, Wayne S. ; De Soete, Geert</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c267t-224b3428638ac0cbc86cda94a6ad88d6ce78a24012967103cab9fcf606c6a95f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1984</creationdate><topic>Brand loyalty</topic><topic>Brand switching</topic><topic>Brands</topic><topic>Cluster analysis</topic><topic>Consumer behavior</topic><topic>Consumer research</topic><topic>Diet</topic><topic>Financial market structures</topic><topic>Market structure analysis</topic><topic>Marketing strategies</topic><topic>Research in Brief</topic><topic>Soft drinks</topic><topic>Sprites</topic><topic>Statistical variance</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>DeSarbo, Wayne S.</creatorcontrib><creatorcontrib>De Soete, Geert</creatorcontrib><collection>CrossRef</collection><jtitle>The Journal of consumer research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>DeSarbo, Wayne S.</au><au>De Soete, Geert</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>On the Use of Hierarchical Clustering for the Analysis of Nonsymmetric Proximities</atitle><jtitle>The Journal of consumer research</jtitle><date>1984-06-01</date><risdate>1984</risdate><volume>11</volume><issue>1</issue><spage>601</spage><epage>610</epage><pages>601-610</pages><issn>0093-5301</issn><eissn>1537-5277</eissn><coden>JCSRBJ</coden><abstract>Rao and Sabavala (1981) recently proposed a hierarchical clustering methodology applied to normalized brand switching matrices to assess competitive market structure We introduce a recently developed clustering method that appears to be more suited to the analysis of such nonsymmetric data, and describe an application and comparison of the various approaches</abstract><cop>Oxford</cop><pub>Journal of Consumer Research</pub><doi>10.1086/208996</doi><tpages>10</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0093-5301 |
| ispartof | The Journal of consumer research, 1984-06, Vol.11 (1), p.601-610 |
| issn | 0093-5301 1537-5277 |
| language | eng |
| recordid | cdi_proquest_journals_215042809 |
| source | Oxford University Press Journals Digital Archive legacy; Business Source Complete; Jstor Complete Legacy |
| subjects | Brand loyalty Brand switching Brands Cluster analysis Consumer behavior Consumer research Diet Financial market structures Market structure analysis Marketing strategies Research in Brief Soft drinks Sprites Statistical variance |
| title | On the Use of Hierarchical Clustering for the Analysis of Nonsymmetric Proximities |
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