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

Packages that use ShortCentroidsResult

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 ShortCentroidsResult in org.openimaj.ml.clustering.kmeans

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

Modifier and Type	Class and Description
static class	ShortKMeans.Result Result object for ShortKMeans, extending ShortCentroidsResult and ShortNearestNeighboursProvider, 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 ShortCentroidsResult

Modifier and Type	Field and Description
ShortCentroidsResult	HierarchicalShortKMeansResult.Node.result ShortCentroidsResult for this node

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

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

Modifier and Type	Method and Description
ShortCentroidsResult	RandomSetShortClusterer.cluster(DataSource<short[]> data) Selects K elements from the provided DataSource as the centroids of the clusters.
ShortCentroidsResult	RandomShortClusterer.cluster(DataSource<short[]> data) Selects K elements from the provided DataSource as the centroids of the clusters.
ShortCentroidsResult	RandomSetShortClusterer.cluster(short[][] data) Selects K elements from the provided data as the centroids of the clusters.
ShortCentroidsResult	RandomShortClusterer.cluster(short[][] data) Selects K elements from the provided data as the centroids of the clusters.