J. Douglas Carroll 1939–2011

[1]  J. Carroll,et al.  Guest Editorial: Psychometric Methods in Marketing Research: Part I, Conjoint Analysis , 1995 .

[2]  Paul E. Green,et al.  An INDSCAL-Based Approach to Multiple Correspondence Analysis , 1988 .

[3]  A. Tversky,et al.  Spatial versus tree representations of proximity data , 1982 .

[4]  Phipps Arabie,et al.  Three-way scaling and clustering. , 1987 .

[5]  J. Douglas Carroll.  Measurement without Numbers. , 1966 .

[6]  Wayne S. DeSarbo,et al.  Least squares algorithms for constructing constrained ultrametric and additive tree representations of symmetric proximity data , 1987 .

[7]  J. Carroll,et al.  Learning on a response continuum: Comparison of a linear change and a functional learning model , 1976 .

[8]  Suzanne Winsberg,et al.  Fitting an extended INDSCAL model to three-way proximity data , 1995 .

[9]  J. Carroll,et al.  Multidimensional scaling reveals two dimensions of thermal pain. , 1986 .

[10]  Paul E. Green,et al.  A General Approach to Product Design Optimization via Conjoint Analysis , 1981 .

[11]  J. Douglas Carroll,et al.  A quasi-nonmetric method for multidimensional scaling VIA an extended euclidean model , 1989 .

[12]  Hui Xiong,et al.  Distance metrics for high dimensional nearest neighborhood recovery: Compression and normalization , 2012, Inf. Sci..

[13]  Karl Christoph Klauer,et al.  A mathematical programming approach to fitting general graphs , 1989 .

[14]  Karl Christoph Klauer,et al.  A comparison of two approaches to fitting directed graphs to nonsymmetric proximity measures , 1991 .

[15]  Wayne S. DeSarbo,et al.  Three-Way Multivariate Conjoint Analysis , 1982 .

[16]  J. Carroll,et al.  Three are Not Enough: An INDSCAL Analysis Suggesting that Color Space Has Seven (£1) Dimensions , 1980 .

[17]  J. Douglas Carroll,et al.  Chapter 13 – APPLICATIONS OF INDIVIDUAL DIFFERENCES SCALING TO STUDIES OF HUMAN PERCEPTION AND JUDGMENT , 1974 .

[18]  J. Douglas Carroll,et al.  14 Multidimensional scaling and its applications , 1982, Classification, Pattern Recognition and Reduction of Dimensionality.

[19]  Geert De Soete,et al.  A maximum likelihood method for fitting the wandering vector model , 1983 .

[20]  Paul E. Green,et al.  Comparing Interpoint Distances in Correspondence Analysis: A Clarification , 1987 .

[21]  J. Carroll,et al.  How separate are the sensory, emotional, and motivational dimensions of pain? A multidimensional scaling analysis. , 2001, Somatosensory & motor research.

[22]  XiongHui,et al.  Distance metrics for high dimensional nearest neighborhood recovery , 2012 .

[23]  P. Arabie,et al.  Mapclus: A mathematical programming approach to fitting the adclus model , 1980 .

[24]  J. Carroll.  FUNCTIONAL LEARNING: THE LEARNING OF CONTINUOUS FUNCTIONAL MAPPINGS RELATING STIMULUS AND RESPONSE CONTINUA , 1963 .

[25]  P. Arabie,et al.  Indclus: An individual differences generalization of the adclus model and the mapclus algorithm , 1983 .

[26]  J. Douglas Carroll,et al.  PARAMAP vs. Isomap: A Comparison of Two Nonlinear Mapping Algorithms , 2006, J. Classif..

[27]  J. Kruskal,et al.  Candelinc: A general approach to multidimensional analysis of many-way arrays with linear constraints on parameters , 1980 .

[28]  Paul E. Green,et al.  K-modes Clustering , 2001, J. Classif..

[29]  R. Abelson,et al.  Computer Simulation of Individual Belief Systems1 , 1965 .

[30]  J. Carroll,et al.  The dimensions of pain: a multidimensional scaling comparison of cancer patients and healthy volunteers , 1989, Pain.

[31]  J. Carroll,et al.  Interpoint Distance Comparisons in Correspondence Analysis , 1986 .

[32]  P. Green,et al.  Analyzing multivariate data , 1978 .

[33]  Paul E. Green,et al.  Mathematical Tools for Applied Multivariate Analysis , 1976 .

[34]  J. Carroll,et al.  Spatial, non-spatial and hybrid models for scaling , 1976 .

[35]  Yoshio Takane,et al.  Nonmetric maximum likelihood multidimensional scaling from directional rankings of similarities , 1981 .

[36]  P. Arabie,et al.  Overlapping Clustering: A New Method for Product Positioning , 1981 .

[37]  J. Carroll,et al.  A novel method for the construction of verbal rating scales at the ratio scale level of measurement precision: The multidimensional-psychophysical scaling procedure (M-PSP) , 2010, Attention, perception & psychophysics.

[38]  J. Carroll,et al.  An alternating combinatorial optimization approach to fitting the INDCLUS and generalized INDCLUS models , 1994 .

[39]  J. Douglas Carroll,et al.  Two-Way Multidimensional Scaling: A Review , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[40]  J. Douglas Carroll,et al.  CLUSCALE ("CLUstering and multidimensional SCAL[E]ing"): A Three-Way Hybrid Model Incorporating Overlapping Clustering and Multidimensional Scaling Structure , 2006, J. Classif..

[41]  J. Carroll,et al.  Synthesized clustering: A method for amalgamating alternative clustering bases with differential weighting of variables , 1984 .

[42]  J. Douglas Carroll,et al.  Psychometric Methods in Marketing Research: Part I, Conjoint Analysis , 1995 .

[43]  J. Chang,et al.  Analysis of individual differences in multidimensional scaling via an n-way generalization of “Eckart-Young” decomposition , 1970 .

[44]  Sharon L. Weinberg,et al.  Confidence regions for INDSCAL using the jackknife and bootstrap techniques , 1984 .

[45]  George W. Furnas,et al.  The estimation of ultrametric and path length trees from rectangular proximity data , 1984 .

[46]  W. DeSarbo,et al.  The representation of three-way proximity data by single and multiple tree structure models , 1984 .

[47]  W. DeSarbo,et al.  Optimal variable weighting for hierarchical clustering: An alternating least-squares algorithm , 1985 .

[48]  W. DeSarbo,et al.  Three-way metric unfolding via alternating weighted least squares , 1985 .

[49]  J. Carroll,et al.  A New Measure of Predictor Variable Importance in Multiple Regression , 1978 .

[50]  J. Carroll,et al.  K-means clustering in a low-dimensional Euclidean space , 1994 .

[51]  Geert De Soete,et al.  The Wandering Ideal Point Model: A Probabilistic Multidimensional Unfolding Model for Paired Comparisons Data , 1986 .

[52]  Harold Gulliksen,et al.  Linear and multidimensional scaling , 1961 .

[53]  Forrest W. Young,et al.  Additive structure in qualitative data: An alternating least squares method with optimal scaling features , 1976 .

[54]  James E. Corter,et al.  A graph-theoretic method for organizing overlapping clusters into trees, multiple trees, or extended trees , 1995 .