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

Packages that use LongCentroidsResult

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 LongCentroidsResult in org.openimaj.ml.clustering.kmeans

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

Modifier and Type	Class and Description
static class	LongKMeans.Result Result object for LongKMeans, extending LongCentroidsResult and LongNearestNeighboursProvider, 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 LongCentroidsResult

Modifier and Type	Field and Description
LongCentroidsResult	HierarchicalLongKMeansResult.Node.result LongCentroidsResult for this node

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

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

Modifier and Type	Method and Description
LongCentroidsResult	RandomLongClusterer.cluster(DataSource<long[]> data) Selects K elements from the provided DataSource as the centroids of the clusters.
LongCentroidsResult	RandomSetLongClusterer.cluster(DataSource<long[]> data) Selects K elements from the provided DataSource as the centroids of the clusters.
LongCentroidsResult	RandomLongClusterer.cluster(long[][] data) Selects K elements from the provided data as the centroids of the clusters.
LongCentroidsResult	RandomSetLongClusterer.cluster(long[][] data) Selects K elements from the provided data as the centroids of the clusters.