MulticlassSupportVectorMachineTKernel, TInput Class

[SerializableAttribute]
public class MulticlassSupportVectorMachine<TKernel, TInput> : MulticlassSupportVectorMachine<SupportVectorMachine<TKernel, TInput>, TKernel, TInput>, 
	ICloneable
where TKernel : Object, IKernel<TInput>

<SerializableAttribute>
Public Class MulticlassSupportVectorMachine(Of TKernel As {Object, IKernel(Of TInput)}, TInput)
	Inherits MulticlassSupportVectorMachine(Of SupportVectorMachine(Of TKernel, TInput), TKernel, TInput)
	Implements ICloneable

Type Parameters

TKernel

TInput

The Support Vector Machine is by nature a binary classifier. One of the ways to extend the original SVM algorithm to multiple classes is to build a one- against-one scheme where multiple SVMs specialize to recognize each of the available classes. By using a competition scheme, the original multi-class classification problem is then reduced to n*(n/2) smaller binary problems.

Currently this class supports only Kernel machines as the underlying classifiers. If a Linear Support Vector Machine is needed, specify a Linear kernel in the constructor at the moment of creation.

References:

• http://courses.media.mit.edu/2006fall/mas622j/Projects/aisen-project/index.html
• http://nlp.stanford.edu/IR-book/html/htmledition/multiclass-svms-1.html

Reference