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

Packages that use IntCentroidsResult

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 IntCentroidsResult in org.openimaj.ml.clustering.kmeans

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

Modifier and Type	Class and Description
static class	IntKMeans.Result Result object for IntKMeans, extending IntCentroidsResult and IntNearestNeighboursProvider, 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 IntCentroidsResult

Modifier and Type	Field and Description
IntCentroidsResult	HierarchicalIntKMeansResult.Node.result IntCentroidsResult for this node

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

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

Modifier and Type	Method and Description
IntCentroidsResult	RandomIntClusterer.cluster(DataSource<int[]> data) Selects K elements from the provided DataSource as the centroids of the clusters.
IntCentroidsResult	RandomSetIntClusterer.cluster(DataSource<int[]> data) Selects K elements from the provided DataSource as the centroids of the clusters.
IntCentroidsResult	RandomIntClusterer.cluster(int[][] data) Selects K elements from the provided data as the centroids of the clusters.
IntCentroidsResult	RandomSetIntClusterer.cluster(int[][] data) Selects K elements from the provided data as the centroids of the clusters.