k-Means Algorithm

The k-Means algorithm is a distance-based clustering algorithm that partitions the data into a predetermined number of clusters. The k-Means algorithm works only with both categorical and numerical attributes. Distance-based algorithms rely on a distance metric (function) to measure the similarity ("closeness") between data points.

Algorithms Details

ODM implements an enhanced version of the k-Means algorithm; the ODM implementation has the following features:

For more information, including how to set configuration parameters, see the ODM documentation in Where to Find More Information.