Fuzzy clustering with semantic interpretation
The proposed approach offers more detailed insight into the cluster's structure and the underlying decision making process. We select different features to describe different objects. We evaluate the similarity between the objects based on the descriptions of objects.
fuzzy clustering semantic interpretation afs algebra selection of simple concepts cluster validity index unsupervised learning