| 항만 경쟁력 평가를 위한 유사도 기반의 이산형 평균 알고리즘 |
|
추봉성, 이철영 |
|
|
| A Dispersion Mean Algorithm based on Similarity Measure for Evaluation of Port Competitiveness |
|
Bong-Sung Chw, Cheol-Yeong Lee |
|
|
| Abstract |
|
The mean and Clustering are important methods of data mining, which is now widely applied to various multi-attributes problem. However, feature weighting and feature selection are important in those methods because features may differ in importance and such differences need to be considered in data mining with various multiful-attributes problem. In addition, in the event of arithmetic mean, which is inadequate to figure out the most fitted result for structure of evaluation with attributes that there are weighted and ranked. Moreover, it is hard to catch hold of a specific character for assume the form of user’s group.
In this paper, we propose a dispersion mean algorithm for evaluation of similarity measure based on the geometrical figure. In addition, is it applied to mean classified by user’s group. One of the key issues to be considered in evaluation of the similarity measure is how to achieve objectiveness that it is not change over an item ranking in evaluation process. |
| Key Words:
Similarity measure;Regularity Distribution;Location Comparison Matrix;Quantification Theory;Dispersion Mean |
|
PDF Links
Download Citation
