In the proposed algorithm, they extend the K-Means clustering process to calculate a weight for each dimension in each cluster and use the weight values to identify the subsets of important ...

Clustering is important data mining technique to extract useful information from various high dimensional datasets. A wide range of clustering algorithms is available in literature and still an ...