An PAM Algorithm Based on Data Field
基于数据场改进的PAM聚类算法

PAM is a k-mediod algorithm. It is efficient and flexible to handle data sets. However, there are inaccurate and insufficient in random choosing initial data center in algorithm PAM, and PAM is not robust to treat data sets in- cluding outlier or noise. Based on data field conception, an improved PAM is designed to solve these problems. This improved algorithm is more efficient and improves quality of result of data mining.