Uses of Class
org.openimaj.ml.clustering.kmeans.HierarchicalFloatKMeansResult

Packages that use HierarchicalFloatKMeansResult

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

Uses of HierarchicalFloatKMeansResult in org.openimaj.ml.clustering.assignment.hard

Fields in org.openimaj.ml.clustering.assignment.hard declared as HierarchicalFloatKMeansResult

Modifier and Type	Field and Description
protected HierarchicalFloatKMeansResult	HierarchicalFloatHardAssigner.result

Constructors in org.openimaj.ml.clustering.assignment.hard with parameters of type HierarchicalFloatKMeansResult

Constructor and Description
HierarchicalFloatHardAssigner(HierarchicalFloatKMeansResult result) Construct with the given Hierarchical KMeans clusterer and the SUM scoring scheme.
HierarchicalFloatHardAssigner(HierarchicalFloatKMeansResult result, HierarchicalFloatHardAssigner.ScoringScheme scorer) Construct with the given hierarchical KMeans clusterer and scoring scheme.

Uses of HierarchicalFloatKMeansResult in org.openimaj.ml.clustering.assignment.soft

Fields in org.openimaj.ml.clustering.assignment.soft declared as HierarchicalFloatKMeansResult

Modifier and Type	Field and Description
protected HierarchicalFloatKMeansResult	HierarchicalFloatPathAssigner.result

Constructors in org.openimaj.ml.clustering.assignment.soft with parameters of type HierarchicalFloatKMeansResult

Constructor and Description
HierarchicalFloatPathAssigner(HierarchicalFloatKMeansResult result) Construct with the given HierarchicalFloatKMeansResult instance.

Uses of HierarchicalFloatKMeansResult in org.openimaj.ml.clustering.kmeans

Methods in org.openimaj.ml.clustering.kmeans that return HierarchicalFloatKMeansResult

Modifier and Type	Method and Description
HierarchicalFloatKMeansResult	HierarchicalFloatKMeans.cluster(DataSource<float[]> data)
HierarchicalFloatKMeansResult	HierarchicalFloatKMeans.cluster(float[][] data)