Presidency University

A new semi-supervised algorithm using silhouette width for clustering arbitrary-scaled data

In order to explore the information embedded in a given set of data, clustering has been successfully used to partition an unlabeled sample into meaningful classes. When we have any additional information regarding the original class-membership for a subset of the data either dir...