Multidimensional Scaling using Neurofuzzy System and Multivariate Analyses

摘要

Multidimensional scaling is one of the important techniques for a big data management. In this paper, various statistical analyses are compared to find the best-fitting method for a representation of a higher dimensional data using the reduced or smaller dimensional data using various multivariate analyses with maximum likelihood estimation through the neurofuzzy systems, which estimate the predicted output values. In addition, the estimated results are examined to find the best fitting technique through the comparison of the various statistical criteria.