All Classes

Class	Description
DistanceMeasure	Interface for distance measures between two n-dimensional vectors.
EuclideanDistance	Euclidean distance measures of n-dimensional vectors.
ExponentialDecayFunction	Exponential decay function: a e-x / b, where x is the (integer) independent variable.
FeatureInitializer	Defines how to assign the first value of a neuron's feature.
FeatureInitializerFactory	Creates functions that will select the initial values of a neuron's features.
KohonenTrainingTask	Trainer for Kohonen's Self-Organizing Map.
KohonenUpdateAction	Update formula for Kohonen's Self-Organizing Map.
LearningFactorFunction	Provides the learning rate as a function of the number of calls already performed during the learning task.
LearningFactorFunctionFactory	Factory for creating instances of LearningFactorFunction.
LocationFinder	Helper class to find the grid coordinates of a neuron.
LocationFinder.Location	Container holding a (row, column) pair.
MapDataVisualization	Interface for algorithms that compute some metrics of the projection of data on a 2D-map.
MapRanking	Utility for ranking the units (neurons) of a network.
MapUtils	Utilities for network maps.
MapVisualization	Interface for algorithms that compute some property of a 2D-map.
NeighbourhoodSizeFunction	Provides the network neighbourhood's size as a function of the number of calls already performed during the learning task.
NeighbourhoodSizeFunctionFactory	Factory for creating instances of NeighbourhoodSizeFunction.
Network	Neural network, composed of Neuron instances and the links between them.
NeuralNetException	Exception class with constants for frequently used messages.
Neuron	Describes a neuron element of a neural network.
NeuronSquareMesh2D	Neural network with the topology of a two-dimensional surface.
NeuronSquareMesh2D.DataVisualization	Miscellaneous indicators of the map quality.
NeuronSquareMesh2D.HorizontalDirection	Horizontal (along row) direction.
NeuronSquareMesh2D.VerticalDirection	Vertical (along column) direction.
NeuronString	Neural network with the topology of a one-dimensional line.
QuasiSigmoidDecayFunction	Decay function whose shape is similar to a sigmoid.
SmoothedDataHistogram	Visualization of high-dimensional data projection on a 2D-map.
SquareNeighbourhood	Defines neighbourhood types.
UnifiedDistanceMatrix	U-Matrix visualization of high-dimensional data projection.
UpdateAction	Describes how to update the network in response to a training sample.