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  • 1
    Electronic Resource
    Electronic Resource
    A new clustering methodology for the analysis of sorted or categorized stimuli (1991)
    Springer
    Marketing letters 2 (1991), S. 267-279 
    Details
    ISSN: 1573-059X
    Keywords: Cluster Analysis ; Categorization ; Sorting Tasks ; Maximum Likelihood Estimation
    Source: Springer Online Journal Archives 1860-2000
    Topics: Economics
    Notes: Abstract This paper introduces a new stochastic clustering methodology devised for the analysis of categorized or sorted data. The methodology reveals consumers' common category knowledge as well as individual differences in using this knowledge for classifying brands in a designated product class. A small study involving the categorization of 28 brands of U.S. automobiles is presented where the results of the proposed methodology are compared with those obtained from KMEANS clustering. Finally, directions for future research are discussed.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF00554131
    Library Location Call Number Volume/Issue/Year Availability
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    Paper (German National Licenses)
    Fulltext
  • 2
    Electronic Resource
    Electronic Resource
    A new clustering methodology for the analysis of sorted or categorized stimuli (1991)
    Springer
    Marketing letters 2 (1991), S. 267-279 
    Details
    ISSN: 1573-059X
    Keywords: Cluster Analysis ; Categorization ; Sorting Tasks ; Maximum Likelihood Estimation
    Source: Springer Online Journal Archives 1860-2000
    Topics: Economics
    Notes: Abstract This paper introduces a new stochastic clustering methodology devised for the analysis of categorized or sorted data. The methodology reveals consumers' common category knowledge as well as individual differences in using this knowledge for classifying brands in a designated product class. A small study involving the categorization of 28 brands of U.S. automobiles is presented where the results of the proposed methodology are compared with those obtained from KMEANS clustering. Finally, directions for future research are discussed.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF02404077
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Paper (German National Licenses)
    Fulltext
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