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Multi Class SVM

version (9.71 KB) by Abbas Manthiri S
Multi class SVM developed by using binary svm classification


Updated 08 Apr 2017

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It classify multi Class Instance SVM Click on demo to view code proof ..
this also accept all option as varargin no need about worry
It is work perfect I Classify using following referece
Multiclass SVM
Multiclass SVM aims to assign labels to instances by using support vector machines, where the labels are drawn from a finite set of several elements.
The dominant approach for doing so is to reduce the single multiclass problem into multiple binary classification problems.[17] Common methods for such reduction include:[17][18]

Building binary classifiers which distinguish (i) between one of the labels and the rest (one-versus-all) or (ii) between every pair of classes (one-versus-one). Classification of new instances for the one-versus-all case is done by a winner-takes-all strategy, in which the classifier with the highest output function assigns the class (it is important that the output functions be calibrated to produce comparable scores). For the one-versus-one approach, classification is done by a max-wins voting strategy, in which every classifier assigns the instance to one of the two classes, then the vote for the assigned class is increased by one vote, and finally the class with the most votes determines the instance classification.


Cite As

Abbas Manthiri S (2022). Multi Class SVM (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2014a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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