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~person:"Groenen, Patrick"
~subject:"correspondence analysis"
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Search: subject:"multidimensional scaling"
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correspondence analysis
multidimensional scaling
11
iterative majorization
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constrained optimization
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optimal scaling
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recommender systems
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symbolic data analysis
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2WaySym-Scal
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Axial Partitioning
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Constrained Estimation
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Distance analysis
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Facet Theory
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Iterative Majorization
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K-means clustering
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Majorization
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Minkowski distances
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Multidimensional Scaling
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Multidimensional scaling
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Regional Restrictions
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alternating least squares
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analysis of dispersion
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biplot
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bootstrap
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case-based reasoning
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co-citation analysis
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dissimilarity measure
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distance approach
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distance smoothing
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distance-based (principal components) analysis
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electronic commerce
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fuzzy clustering
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global optimization
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group weights
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interactive MDS
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interactive majorization
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interval data
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length-constraints
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local minima
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map-based interface
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Groenen, Patrick
Greenacre, Michael
5
Brzezińska, Justyna
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Batóg, Barbara
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Batóg, Jacek
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Bock, Tim
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Gower, Gower, J.C.
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Gower, J.C.
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Groenen, P.J.F.
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Groenen, Patrick J. F.
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Groenen, Patrick J.F.
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Hoare, Jake
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Mair, Patrick
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Stanimir, Agnieszka
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Treiblmaier, Horst
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Erasmus Research Institute of Management (ERIM), Erasmus Universiteit Rotterdam
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ERIM Report Series Research in Management
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Perceptual maps: the good, the bad and the ugly
Groenen, Patrick
;
Gower, Gower, J.C.
;
van de Velden, …
-
Erasmus Research Institute of Management (ERIM), …
-
2010
multidimensional
scaling
, each needing specific requirements for producing the map and interpreting it. Some of the major flaws of …
Persistent link: https://www.econbiz.de/10010837516
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