Uses of Class
org.openimaj.ml.clustering.kmeans.FeatureVectorKMeans.Result

Packages that use FeatureVectorKMeans.Result

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

Uses of FeatureVectorKMeans.Result in org.openimaj.ml.clustering.kmeans

Methods in org.openimaj.ml.clustering.kmeans that return FeatureVectorKMeans.Result

Modifier and Type	Method and Description
protected FeatureVectorKMeans.Result<T>	FeatureVectorKMeans.cluster(DataSource<T> data, int K) Initiate clustering with the given data and number of clusters.
FeatureVectorKMeans.Result<T>	FeatureVectorKMeans.cluster(List<T> data) Perform clustering on the given data.
FeatureVectorKMeans.Result<T>	FeatureVectorKMeans.cluster(T[] data)

Methods in org.openimaj.ml.clustering.kmeans with parameters of type FeatureVectorKMeans.Result

Modifier and Type	Method and Description
protected void	FeatureVectorKMeans.cluster(DataSource<T> data, FeatureVectorKMeans.Result<T> result) Main clustering algorithm.
void	FeatureVectorKMeans.cluster(T[] data, FeatureVectorKMeans.Result<T> result) Main clustering algorithm.