Split the given Pattern into a fixed number of clusters using the %%k%-means clustering algorithm and the feature weights contained within the selected FeatureWeights object. A Categories object containing numbered categories corresponding to the generated clusters will be created.

Settings

k clusters

The number of clusters to be generated.

Cluster size ratio constraint

The minimum allowed ratio between the smallest and the biggest cluster.

Maximum number of reseeds

The maximum allowed number of reseeds used to enforce the cluster size ratio constraint.

See also:

kNN classifiers

kNN classifiers 1.1.1. Feature weighting

Links to this page

• kNN classifiers 3. Command overview