This paper presents knowledge based clustering with reclustering which enhances unsupervised classification and achieves pattern labeling.
Domain knowledge is utilized to decide where and how a clustering algorithm is applied.
Applications of the approach in three different domains have been accomplished with a fuzzy c-means clustering algorithm. The first application was on image segmentation. We have achieved complete labeling of pathological magnetic resonance images of the brain. The second application was the pattern classification of the Iris data set. Significant improvement has been obtained.