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

Packages that use FloatKMeans.Result

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

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

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

Modifier and Type	Method and Description
FloatKMeans.Result	FloatKMeans.cluster(DataSource<float[]> ds)
protected FloatKMeans.Result	FloatKMeans.cluster(DataSource<float[]> data, int K) Initiate clustering with the given data and number of clusters.
FloatKMeans.Result	FloatKMeans.cluster(float[][] data)

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

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