Constrained Multidimensional Scaling, Including Confirmation

A shape deformation algorithm for constrained multidimensional scaling

We present a new Euclidean embedding technique based on volumetric shape registration. Extrinsic representation of the intrinsic geometry of a shape is preferable in various computer graphics applications as it poses only a small degrees of freedom to deal with during processing. A popular Euclidean embedding approach to achieve such a representation is multidimensional scaling (MDS), which, ho...

CorrelatedMultiples: Spatially Coherent Small Multiples with Constrained Multidimensional Scaling

Small multiples are a popular method of summarizing and comparing multiple facets of complex data sets. Since they typically do not take into account correlations between items, serial inspection is needed to search and compare items, which can be ineffective. To address this, we introduce CorrelatedMultiples, an alternative of small multiples in which items are placed so that distances reflect...

Multidimensional scaling.

INTRODUCTION .................................................................................................. . . . . . . . . 608 A NEW TAXONOMY OF MEASUREMENT DATA AND OF MULTIDIMENSIONAL MEASUREMENT MODELS .............. ............ 608 ONE-MODE TWO-WAY DATA.................................................................................. 612 Spatial Distance Models (for One-mode Two-way D...

Using Multidimensional Scaling for Assessment Economic Development of Regions

Addressing socio-economic development issues are strategic and most important for any country. Multidimensional statistical analysis methods, including comprehensive index assessment, have been successfully used to address this challenge, but they donchr('39')t cover all aspects of development, leaving some gap in the development of multidimensional metrics. The purpose of the study is to const...

Multidimensional Scaling