Tensor Analysis and Multidimensional Scaling: The Influence of Class Structure on Similarity Judgments.

Abstract

E ASSUMPTION IS VIOLATED IN CASES WHERE THE SAMPLE OF STIMULUS OBJECTS HAS AN UNDERLYING CLASS STRUCTURE. It shows that while the prediction of similarity judgments for pairs of stimuli belonging to the same class is consistent with the scaling model, the prediction of between class judgments does not fit the model. In particular, between class similarity depends on the separation between the two stimuli being compared and the centroids or prototypes of the classes as well as on the distance between the stimuli in the multidimensional space. That is, the perceived distance (dissimilarity) between two stimuli depends not only on coordinate differences but on the relative position of the pair in the geometric space. This result is inconsistent with the assumptions underlying the multidimensional scaling model. A pseudo proof is constructed to demonstrate this inconsistency. (Author)

Document Details

Document Type
Technical Report
Publication Date
May 01, 1972
Accession Number
AD0753889

Entities

People

  • Richard M. Fenker

Organizations

  • Texas Christian University

Tags

DTIC Thesaurus Topics

  • Algebra
  • Judgment
  • Linear Algebra
  • Mathematics
  • Models
  • Prototypes
  • Tensor Analysis
  • Tensors

Fields of Study

  • Psychology

Readers

  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Theoretical Analysis.
  • Vision Science/Vision Psychology/Cognitive Neuroscience.

Technology Areas

  • Space