TITLE:
An Improvement of Grey Integrated Clustering Method
AUTHORS:
Tianhui Wang, Xiaolu Li, Bingjun Li
KEYWORDS:
Grey Cluster, Cluster Coefficient, Distinguished Difference
JOURNAL NAME:
Open Journal of Applied Sciences,
Vol.7 No.4,
April
30,
2017
ABSTRACT: In the grey clustering assessment, the grey integrated clustering method can solve the problem that there are not distinguished differences of grey clustering coefficient. This paper proposes an improved grey integrated clustering method based on the existing problem that there are some deficiencies in the division of the value scope of the integrated cluster coefficients, and proves the effectiveness of the improved method through the empirical analysis.