SVClustering Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

damina::AbstractSVM	An abstract class which implements the basics for the Support Vector Machines
damina::CCLSVClustering	An implementation of the Support Vector Clustering originally proposed by Ben-Hur et al (2001), with a variation in the Cluster Labeling part
damina::ClassificationEngine	A class which provides the basic interface for all classifiers
damina::ClusteringEngine	A class which provides the basic interface for all clustering engines
damina::DataSet	A class which is useful for manage both Training Sets and Test Sets
damina::EuclideanDistance	The EuclideanDistance class is a base class to implement euclidean norms (L2, L1,
damina::Feature	Encapsulates a Feature for feature vector representaion of data
damina::FileLoader	Implements the file loader
damina::GKWGenerator	An implementation of the Secant Algorithm fot Gaussian Kernel Widht generation
damina::KernelType	Provides encoding for representing Kernel Types
damina::L1Distance	L1 Distance implementation
damina::L2Distance	L2 Distance implementation
damina::LearningEngine	A class which provides the basic interface for all learning engines
damina::LibsvmFileLoader	Implements a specific file loader for LibSVM structures
damina::LibsvmUtils	Provides utilties for Libsvm as public static methods
damina::OneClassSVM	An implementation of One Class SVM
damina::Point	Encapsulates a Point for feature vector representaion of data
svc_options	The structure encapsulating the SVC runing options
damina::SVClustering	An implementation of the Support Vector Clustering originally proposed by Ben-Hur et al (2001)

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