Mixing fuzzy Sammon mapping and GK cluster to perform clustering
Jui-Ching Huang, Kuo-Chung Mei, Wen-Tsao Pan · Journal of Statistics and Management Systems · 2009
Clustering analysis is the basis of the construction of many classifications and systems with main objective to plan and divide the data into many subsets according to certain rules. Due to the practical function of clustering analysis, many researchers thus proposed different clustering algorithms to be used by researchers around the world. In this article, Fuzzy Sammon Mapping method is associated to perform clustering effect and classification capability analysis on these frequently used clustering algorithms. From the result of test data of an investigation of banking service satisfaction, it was found that GK Cluster algorithm can have very good clustering effect; however, for classification capability, hard clustering analysis method is better.