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SOMLearning Class
Kohonen Self Organizing Map (SOM) learning algorithm.
Inheritance Hierarchy
SystemObject
  Accord.Neuro.LearningSOMLearning

Namespace:  Accord.Neuro.Learning
Assembly:  Accord.Neuro (in Accord.Neuro.dll) Version: 3.8.0
Syntax
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public class SOMLearning : IUnsupervisedLearning
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The SOMLearning type exposes the following members.

Constructors
  NameDescription
Public methodSOMLearning(DistanceNetwork)
Initializes a new instance of the SOMLearning class.
Public methodSOMLearning(DistanceNetwork, Int32, Int32)
Initializes a new instance of the SOMLearning class.
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Properties
  NameDescription
Public propertyHeight
Gets the neural network's height.
Public propertyLearningRadius
Learning radius.
Public propertyLearningRate
Learning rate, [0, 1].
Public propertyWidth
Gets the neural network's width.
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Methods
  NameDescription
Public methodEquals
Determines whether the specified object is equal to the current object.
(Inherited from Object.)
Protected methodFinalize
Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.
(Inherited from Object.)
Public methodGetHashCode
Serves as the default hash function.
(Inherited from Object.)
Public methodGetType
Gets the Type of the current instance.
(Inherited from Object.)
Protected methodMemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.)
Public methodRun
Runs learning iteration.
Public methodRunEpoch
Runs learning epoch.
Public methodToString
Returns a string that represents the current object.
(Inherited from Object.)
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Extension Methods
  NameDescription
Public Extension MethodHasMethod
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.)
Public Extension MethodIsEqual
Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices.
(Defined by Matrix.)
Public Extension MethodTo(Type)Overloaded.
Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.)
Public Extension MethodToTOverloaded.
Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.)
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Remarks

This class implements Kohonen's SOM learning algorithm and is widely used in clusterization tasks. The class allows to train Distance Networks.

Sample usage (clustering RGB colors):

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// set range for randomization neurons' weights
Neuron.RandRange = new Range( 0, 255 );
// create network
DistanceNetwork    network = new DistanceNetwork(
        3, // thress inputs in the network
        100 * 100 ); // 10000 neurons
// create learning algorithm
SOMLearning    trainer = new SOMLearning( network );
// network's input
double[] input = new double[3];
// loop
while ( !needToStop )
{
    input[0] = rand.Next( 256 );
    input[1] = rand.Next( 256 );
    input[2] = rand.Next( 256 );

    trainer.Run( input );

    // ...
    // update learning rate and radius continuously,
    // so networks may come steady state
}
See Also