GestureRecognitionToolkit  Version: 0.2.0
The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, c++ machine learning library for real-time gesture recognition.
GMM.h File Reference

This class implements the Gaussian Mixture Model Classifier algorithm. The Gaussian Mixture Model Classifier (GMM) is basic but useful classification algorithm that can be used to classify an N-dimensional signal. More...

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Classes

class  GMM
 

Macros

#define GMM_MIN_SCALE_VALUE   0.0001
 
#define GMM_MAX_SCALE_VALUE   1.0
 

Detailed Description

This class implements the Gaussian Mixture Model Classifier algorithm. The Gaussian Mixture Model Classifier (GMM) is basic but useful classification algorithm that can be used to classify an N-dimensional signal.

Author
Nicholas Gillian ngill.nosp@m.ian@.nosp@m.media.nosp@m..mit.nosp@m..edu
Version
1.0
Remarks
This implementation is based on Duda, Richard O., and Peter E. Hart. Pattern classification and scene analysis. Vol. 3. New York: Wiley, 1973.

Definition in file GMM.h.

Macro Definition Documentation

#define GMM_MIN_SCALE_VALUE   0.0001

GRT MIT License Copyright (c) <2012> <Nicholas Gillian, Media Lab, MIT>

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Definition at line 44 of file GMM.h.