New clustering method based on hybrid of SOM and PAM
一种基于SOM和PAM的聚类算法

A new hybrid clustering method was presented combining the Self Organization Map (SOM) and Partitioning Around Medoid (PAM) approach in this paper. Firstly the data set was clustered by means of SOM algorithm, and then the clustering result was used to initialize the class number in the PAM algorithm. The experimental result shows that the hybrid clustering method can improve the clustering performance.