Uses of Interface
metrics.MetricModel

Packages that use MetricModel

kohonen
metrics
network

Uses of MetricModel in kohonen

Fields in kohonen declared as MetricModel

protected MetricModel	WTMLearningFunction.metrics reference to metrics
protected MetricModel	WTALearningFunction.metrics reference to metrics

Methods in kohonen that return MetricModel

MetricModel	WTMLearningFunction.getMetrics() Return metrics
MetricModel	WTALearningFunction.getMetrics() Return metrics

Methods in kohonen with parameters of type MetricModel

void	WTMLearningFunction.setMetrics(MetricModel metrics) Set metrics
void	WTALearningFunction.setMetrics(MetricModel metrics) Set metrics

Constructors in kohonen with parameters of type MetricModel

WTALearningFunction(NetworkModel networkModel, int maxIteration, MetricModel metrics, LearningDataModel learningData, LearningFactorFunctionalModel functionalModel)
Creates a new instance of WTALearningFunction.

WTALearningFunctionWithTired(NetworkModel networkModel, int maxIteration, MetricModel metrics, LearningDataModel learningData, LearningFactorFunctionalModel functionalModel)
Creates a new instance of WTALearningFunction.

WTMLearningFunction(NetworkModel networkModel, int maxIteration, MetricModel metrics, LearningDataModel learningData, LearningFactorFunctionalModel functionalModel, NeighbourhoodFunctionModel neighboorhoodFunction)
Creates a new instance of WTMLearningFunction

WTMLearningFunctionWithTired(NetworkModel networkModel, int maxIteration, MetricModel metrics, LearningDataModel learningData, LearningFactorFunctionalModel functionalModel, NeighbourhoodFunctionModel neighboorhoodFunction)
Creates a new instance of WTMLearningFunction

Uses of MetricModel in metrics

Classes in metrics that implement MetricModel

class	CityBlockMetric City block metric return distance calculated by function: sum|x_i - y_i| for each element from inputs vectors, where x_i is first input vector element, y_i is second vector element.
class	EuclidesMetric Euclides metric return distance calculated by function: sum[sqrt(x_i - y_i)] for each element from inputs vectors, where x_i is first input vector element, y_i is second vector element.
class	MinkowskiMetric Minkowski metric return distance calculated by function: {sum[(x_i - y_i)^p]}^(1/p)

Uses of MetricModel in network

Methods in network that return MetricModel

MetricModel

KohonenNeuron.getDistanceFunction() Return reference to distance function

Methods in network with parameters of type MetricModel

void	KohonenNeuron.setDistanceFunction(MetricModel distanceFunction) Set distance function