Abstract
This paper presents an extended version of the fuzzy c-means algorithm that takes into account the probabilistic information of spatial datasets. This spatial probability can be determined by the indicator kriging of geo-statistical estimation. The proposed approach is also considered as the fusion of probabilistic and fuzzy evidences, which are complementary to each other in the data clustering process.