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

Packages that use FloatCentroidsResult

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 FloatCentroidsResult in org.openimaj.ml.clustering.kmeans

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

Modifier and Type	Class and Description
static class	FloatKMeans.Result Result object for FloatKMeans, extending FloatCentroidsResult and FloatNearestNeighboursProvider, 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 FloatCentroidsResult

Modifier and Type	Field and Description
FloatCentroidsResult	HierarchicalFloatKMeansResult.Node.result FloatCentroidsResult for this node

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

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

Modifier and Type	Method and Description
FloatCentroidsResult	RandomSetFloatClusterer.cluster(DataSource<float[]> data) Selects K elements from the provided DataSource as the centroids of the clusters.
FloatCentroidsResult	RandomFloatClusterer.cluster(DataSource<float[]> data) Selects K elements from the provided DataSource as the centroids of the clusters.
FloatCentroidsResult	RandomSetFloatClusterer.cluster(float[][] data) Selects K elements from the provided data as the centroids of the clusters.
FloatCentroidsResult	RandomFloatClusterer.cluster(float[][] data) Selects K elements from the provided data as the centroids of the clusters.