Uses of Class
org.openimaj.ml.clustering.DoubleCentroidsResult

Packages that use DoubleCentroidsResult

Package	Description
org.openimaj.ml.clustering.kmeans	K-Means in OpenIMAJ is designed to be both extremely fast and flexible.
org.openimaj.ml.clustering.random

Uses of DoubleCentroidsResult in org.openimaj.ml.clustering.kmeans

Subclasses of DoubleCentroidsResult in org.openimaj.ml.clustering.kmeans

Modifier and Type	Class and Description
static class	DoubleKMeans.Result Result object for DoubleKMeans, extending DoubleCentroidsResult and DoubleNearestNeighboursProvider, as well as giving access to state information from the operation of the K-Means algorithm (i.e.

Fields in org.openimaj.ml.clustering.kmeans declared as DoubleCentroidsResult

Modifier and Type	Field and Description
DoubleCentroidsResult	HierarchicalDoubleKMeansResult.Node.result DoubleCentroidsResult for this node

Uses of DoubleCentroidsResult in org.openimaj.ml.clustering.random

Methods in org.openimaj.ml.clustering.random that return DoubleCentroidsResult

Modifier and Type	Method and Description
DoubleCentroidsResult	RandomSetDoubleClusterer.cluster(DataSource<double[]> data) Selects K elements from the provided DataSource as the centroids of the clusters.
DoubleCentroidsResult	RandomDoubleClusterer.cluster(DataSource<double[]> data) Selects K elements from the provided DataSource as the centroids of the clusters.
DoubleCentroidsResult	RandomSetDoubleClusterer.cluster(double[][] data) Selects K elements from the provided data as the centroids of the clusters.
DoubleCentroidsResult	RandomDoubleClusterer.cluster(double[][] data) Selects K elements from the provided data as the centroids of the clusters.