This paper presents a novel multi-paradigm segmentation method based upon knowledge based clustering with reclustering. The techniques described enhance unsupervised classification and achieve pattern labeling. First domain knowledge is utilized to decide where and how a clustering algorithm is applied, then clustering is iteratively applied to focus-of-attention patterns with the knowledge of how many expected classes there are in those patterns and the prototypical patterns of a class. Examples showing clustering improvements are given from brain MRI's and satellite images.