Brian T. Luke, Ph.D.

    The purpose of clustering is to place similar objects within the same group.

Each object must be described by some metrics that can either be catagorical or real-valued.

The difference in these metrics is used to calculate a distance between the objects, and this distance determines the clusters.

My Clustering Pages




Bibliography of Conceptual Clustering

Mixture modelling, Clustering, Intrinsic classification, Unsupervised learning and Mixture modeling

Online Software for Clustering