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  • 1995-1999  (1)
  • 1990-1994  (1)
  • 1925-1929
  • ADCLUS  (1)
  • Monotone splines  (1)
  • 1
    Electronic Resource
    Electronic Resource
    An alternating combinatorial optimization approach to fitting the INDCLUS and generalized INDCLUS models (1994)
    Springer
    Journal of classification 11 (1994), S. 155-170 
    Details
    ISSN: 1432-1343
    Keywords: Overlapping clustering ; Cluster analysis ; ADCLUS ; INDCLUS ; MAPCLUS ; Separability
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract This paper presents a general approach for fitting the ADCLUS (Shepard and Arabie 1979; Arabie, Carroll, DeSarbo, and Wind 1981), INDCLUS (Carroll and Arabie 1983), and potentially a special case of the GENNCLUS (DeSarbo 1982) models. The proposed approach, based largely on a separability property observed for the least squares loss function being optimized, offers increased efficiency and other advantages over existing approaches like MAPCLUS (Arabie and Carroll 1980) for fitting the ADCLUS model, and the INDCLUS method for fitting the INDCLUS model. The new procedure (called “SINDCLUS”) is applied to three sets of empirical data to demonstrate the effectiveness of the SINDCLUS methodology. Finally, some potentially useful extensions are discussed.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01195676
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    Fitting an extended INDSCAL model to three-way proximity data (1995)
    Springer
    Journal of classification 12 (1995), S. 57-71 
    Details
    ISSN: 1432-1343
    Keywords: Weighted Euclidean model ; INDSCAL ; Multidimensional scaling ; Specificities ; Monotone splines
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mathematics
    Notes: Abstract The INDSCAL individual differences scaling model is extended by assuming dimensions specific to each stimulus or other object, as well as dimensions common to all stimuli or objects. An “alternating maximum likelihood” procedure is used to seek maximum likelihood estimates of all parameters of this EXSCAL (Extended INDSCAL) model, including parameters of monotone splines assumed in a “quasi-nonmetric” approach. The rationale for and numerical details of this approach are described and discussed, and the resulting EXSCAL method is illustrated on some data on perception of musical timbres.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01202267
    Library Location Call Number Volume/Issue/Year Availability
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    Paper (German National Licenses)
    Fulltext
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