Clusters Class

public static class Clusters

Public NotInheritable Class Clusters

public ref class Clusters abstract sealed

[<AbstractClassAttribute>]
[<SealedAttribute>]
type Clusters = class end

Inheritance

Object    Clusters

The Clusters class supplies method Discover(DoubleMatrix, Int32) for identifying clusters in a data set, and method Explain(DoubleMatrix, IndexPartitionDouble, Int32) to select features from a data set in order to interpret an existing partition of the available items.

Such methods assume that the data set can be represented as a DoubleMatrix instance having as many rows as the number of items, while the number of columns is the number of available features. The i-th row thus contains the observations at item i of the features under study.

Clusters of items are described as an IndexPartitionT instance, whose parts represents the clusters as collections of indexes valid for the rows in the data set.

Advanced scenarios

Reference