MULTIDIMENSIONAL SCALING USING PARALLEL GENETIC ALGORITHM
Audrius Varoneckas, Antanas Žilinskas, Julius Žilinskas · 2006
AbstractMultidimensional scaling is a technique for visualization of multidimensional data. A difficult global optimization problem should be solved to minimize the error of visualization. Parallel genetic global optimization algorithm for multidimensional scaling is implemented to enable solution of large scale problems in acceptable time. Results of visualization using high performance computer and cluster of personal computers are presented.