Multidimensional scaling (MDS) is a collection of data analytic techniques for constructing configurations of points from dissimilarity information about interpoint distances. Classsical MDS assumes a fixed matrix of dissimilarities. However, in some applications, e.g., the problem of inferring 3-dimensional molecular structure from bounds on interatomic distances, the dissimilarities are free ...

In this paper we approach the problem of calibrating topologically a discrete camera mounted on a robotic pan-tilt basis. In particular this work is focused in choosing the coordinate system of the camera consistently with the basis. The topological calibrating methodology of the sensor is based on multidimensional scaling (MDS). The choice of the coordinate system is based in performing known ...

Experiments were conducted in which Ss made classification, recognition, and similarity judgments for 34 schematic faces. A multidimensional scaling (MDS) solution for the faces was derived on the basis of the similarity judgments. This MDS solution was then used in conjunction with an exemplar-similarity model to accurately predict Ss' classification and recognition judgments. Evidence was pro...

We assessed the qualitative accord between several automatic face recognition algorithms and human perceivers. By comparing modeland human-generated measures of the similarity between pairs of faces, we were able to evaluate the suitability of the algorithms as models of human face recognition. Multidimensional scaling (MDS) was used to create a spatial representation of the subject response pa...

This study explored the attributes of languages to which listeners attend, using magnitude estimation and multidimensional scaling techniques. In magnitude estimation. lislcners assign any numerical value to a set of stimuli. In response to the question: Ilow similar is this language to English’? fifty college students assigned numerical values to spoken samples of foreign languages. The langua...

Population counts and longitude and latitude coordinates were estimated for the 50 largest cities in the United States by computational linguistic techniques and by human participants. The mathematical technique Latent Semantic Analysis applied to newspaper texts produced similarity ratings between the 50 cities that allowed for a multidimensional scaling (MDS) of these cities. MDS coordinates ...

In this paper, analysis of brain tumor growth using a dimensionality reduction method (DRM), i.e., multidimensional scaling (MDS) is presented. The data of one patient’s complete MRI records scanned during his visits in the past two years are used for the analysis. There are ten MRI series, including DTI, for each visit. After registering all series to the corresponding DTI scan at the first vi...

Underwater sensor networks (UWSNs) are considered a costeffective solution to ocean applications, such as the acquisition of natural resources in oceans, protection from underwater disasters, etc. These applications basically require location information of nodes to identify the venue of reported events. To locate more accurately the position of nodes, multidimensional scaling (MDS) is widely u...

Class A G-protein-coupled receptors (GPCRs) provide a fascinating example of evolutionary success. In this review, we discuss how metric multidimensional scaling (MDS), a multivariate analysis method, complements traditional tree-based phylogenetic methods and helps decipher the mechanisms that drove the evolution of class A GPCRs. MDS provides low-dimensional representations of a distance matr...

This research explored the feasibility of using multidimensional scaling (MDS) analysis in novel combination with other techniques to study comprehension of epistemic adverbs expressing doubt and certainty (e.g., evidently, obviously, probably) as they relate to health communication in clinical settings. In Study 1, Australian English speakers performed a dissimilarity-rating task with sentence...