The identification of groups' prototypes, ie elements of a dataset that represent different groups of data points, may be relevant to the tasks of clustering, classification and mixture …
We propose an approach to the cluster ensemble problem based on pivotal units extracted from a co-association matrix. It can be seen as a modified version of K-means method, which …
Despite its large use, one major limitation of K-means algorithm is the impact of the initial seeding on the final partition. We propose a modified version, using the information …