A New Spatial Fuzzy C-Means for Spatial Clustering

  title={A New Spatial Fuzzy C-Means for Spatial Clustering},
  author={Y. Q. Guo and KunHong Liu and Qingqiang Wu and Qingqi Hong and Haiying Zhang},
Fuzzy C-means is a widely used clustering algorithm in data mining. Since traditional fuzzy C-means algorithms do not take spatial information into consideration, they often can’t effectively explore geographical data information. So in this paper, we design a Spatial Distance Weighted Fuzzy C-Means algorithm, named as SDWFCM, to deal with this problem. This algorithm can fully use spatial features to assign samples to different clusters, and it only needs to calculate the memberships one time… CONTINUE READING