새로운 적합도 함수를 사용한 비계량형 다차원 척도법에 대한 연구

A Study on Non-Metric Multidimensional Scaling Using A New Fitness Function

  • 이동주 (공주대학교 산업시스템공학과) ;
  • 이창용 (공주대학교 산업시스템공학과)
  • Lee, Dong-Ju (Dept. of Industrial and Systems Engineering, Kongju National University) ;
  • Lee, Chang-Yong (Dept. of Industrial and Systems Engineering, Kongju National University)
  • 투고 : 2011.05.16
  • 심사 : 2011.06.01
  • 발행 : 2011.06.30

초록

Since the non-metric Multidimensional scaling (nMDS), a data visualization technique, provides with insights about engineering, economic, and scientific applications, it is widely used for analyzing large non-metric multidimensional data sets. The nMDS requires a fitness function to measure fit of the proximity data by the distances among n objects. Most commonly used fitness functions are nonlinear and have a difficulty to find a good configuration. In this paper, we propose a new fitness function, an absolute value type, and show its advantages.

키워드

참고문헌

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