A C-means Algorithm Based on Data Field

C-means clustering is the first objective function clustering algorithm.Our purpose is to set forth a C-means algorithm based on data field,which can be widely applied to the classification and hierarchy in the field of spatial data mining and knowledge discovery.The basic idea of this method is to find the initial cluster centers based on the introduction of data field.Priority should find potential heart k according to the potential field distribution function,then select sample data being close on the potential heart.Finally,we can achieve C-means clustering algorithm.We presentd the implementation steps of the method,and verified the feasible and scientific significance by examples.