J. Douglas Carroll

Learn More
Multidimensional scaling (MDS) is a technique used to extract a set of independent variables from a proximity matrix or matrices. Applications of MDS are found in a wide range of areas, including visualization, pattern analysis, data preprocessing, scale development, cybernetics, and localization. The overall rationale behind the paper is to help share(More)
INTRODUCTION .................................................................................................. . . . . . . . . 608 A NEW TAXONOMY OF MEASUREMENT DATA AND OF MULTIDIMENSIONAL MEASUREMENT MODELS .............. ............ 608 ONE-MODE TWO-WAY DATA.................................................................................. 612 Spatial(More)
This paper presents a new approach to the measurement and understanding of clinical pain. A multidimensional scaling (MDS) procedure was used to analyze pairwise similarity judgments made to 9 pain descriptors by 24 cancer pain patients and 24 healthy volunteers. The question was whether the dimensions of the global pain space differed between the 2 groups.(More)
0020-0255/$ see front matter 2011 Elsevier Inc doi:10.1016/j.ins.2011.07.048 ⇑ Corresponding author. E-mail addresses: france@uwm.edu (S.L. France), Previous work has shown that the Minkowski-p distance metrics are unsuitable for clustering very high dimensional document data. We extend this work. We frame statistical theory on the relationships between the(More)
Multidimensional scaling was used to explore whether a single intensity dimension underlies the perception of both nonpainful and painful electrical stimuli, or whether separate dimensions are required. For the scaling (INDSCAL) procedure, 41 healthy volunteers judged the similarity between all pairs of 16 intensities, which ranged from imperceptible levels(More)
The perceptual representation of speech is generally assumed to be discrete rather than continuous, pointing to the need for general discrete analytic models to represent observed perceptual similarities among speech sounds. The INDCLUS (INdividual Differences CLUStering) model and algorithm [J.D. Carroll and P. Arabie, Psychometrika 48, 157-169 (1983)] can(More)