Introduction - If you have any usage issues, please Google them yourself
FCM algorithm is a clustering algorithm based on division, the idea is to make it to the same cluster is divided into the biggest similarity between the objects, while the minimum similarity between different clusters. Fuzzy C-Means algorithm is an ordinary C-means algorithm, normal C-means algorithm for data classification is rigid, and FCM is a flexible fuzzy partition.