| MVSVMCLASS | |
Majority voting multi-class SVM classifier.
Synopsis:
[y,votes] = mvsvmclass(X,model)
Description:
[y,votes] = mvsvmclass(X,model) multi-class SVM classifier
based on majority voting. The classifier involves nrule
binary rules each classifying into one of nclass labels.
The final decision is make for the class with majority
votes.
Input:
X [dim x num_data] Input vectors to be classified.
model [struct] Multi-class SVM majority voting classifier:
.Alpha [nsv x nrule] Weights.
.bin_y [2 x nrule] Translation between binary responses of
the discriminant functions and class labels.
.b [nrule x 1] Biases of discriminant functions.
.sv.X [dim x nsv] Support vectors.
.options.ker [string] Kernel identifier; see 'help kernel'.
.options.arg [1 x nargs] Kernel agrument(s).
Output:
y [1 x num_data] Predicted labels.
votes [nclass x num_data] Number of votes for each class.
Example:
See also
OAOSVM, SVMCLASS.
About: Statistical Pattern Recognition Toolbox
(C) 1999-2003, Written by Vojtech Franc and Vaclav Hlavac
Czech Technical University Prague
Faculty of Electrical Engineering
Center for Machine Perception