Uses of Class
FeatureExtractor.Clustering.ClusteringDistance

Packages that use ClusteringDistance

FeatureExtractor.Clustering	Contains the abstract classes for the segmentation of images into regions.
FeatureExtractor.Clustering.KMeans	Contains classes implementing the (generic) k-means algorithm.
FeatureExtractor.Clustering.Windsurf	Contains classes specific for the Windsurf clustering algorithm.

Uses of ClusteringDistance in FeatureExtractor.Clustering

Fields in FeatureExtractor.Clustering declared as ClusteringDistance

protected ClusteringDistance

GenericClustering.d The clustering distance used to compare the pixels

Constructors in FeatureExtractor.Clustering with parameters of type ClusteringDistance

GenericClustering(ClusteringDistance d)
Basic constructor.

Uses of ClusteringDistance in FeatureExtractor.Clustering.KMeans

Constructors in FeatureExtractor.Clustering.KMeans with parameters of type ClusteringDistance

KMeansClustering(ClusteringDistance d, int n)
Basic constructor.

Uses of ClusteringDistance in FeatureExtractor.Clustering.Windsurf

Subclasses of ClusteringDistance in FeatureExtractor.Clustering.Windsurf

class

Mahalanobis Class implementing the computation of the Mahalanobis distance.

Constructors in FeatureExtractor.Clustering.Windsurf with parameters of type ClusteringDistance

WindsurfKMeansClustering(ClusteringDistance d, int n)
Basic constructor.