Learning Systems
Spring 2000

Download area

EM MoG algorithm and comparison with K-means algorithm

MoG_demo.m
plotGauss_color.m
randMG.m
randMean.m
randCovariance.m
gaussian.m
kmeans.m
dist2.m

The main function is MoG_demo.
Type 'help function-name' to get info about the specific function

EM Kalman Filter

demo_KF2.m
randMean.m
randCovariance.m
randvec.m

The main function is demo_KF2.
Type 'help function-name' to get info about the specific function

EM HMM

HMM_EM_demo.m
gauss2.m
new_state.m
plotGauss_color.m
randMean.m
randCovariance.m
randvec.m

The main function is HMM_EM_demo.
Type 'help function-name' to get info about the specific function

California Institute of Technology, Pasadena, CA 91125.