Oracle k-Means

The Oracle k-Means algorithm identifies naturally occurring groupings within a data population. The k-Means algorithm is a distance-based clustering algorithm that partitions the data into a predetermined number of clusters (provided there are enough distinct cases). Distance-based algorithms rely on a distance metric (function) to measure the similarity between data points. Data points are assigned to the nearest cluster according to the distance metric used. ODM provides an enhanced version of k-Means.

The k-Means algorithm supports hierarchical clusters, handles numeric and categorical attributes, and cuts the population into the user-specified number of clusters. ODM provides cluster detail information, cluster rules, cluster centroid values, and can be used to score a population on their cluster membership.