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# lyngby_gmm_fit

## (export/lyngby/lyngby_gmm_fit.m)

### Function Synopsis

[mys, Sigmas, ps] = lyngby_gmm_fit(X, arg1, arg2, arg3, ...

### Help text

lyngby_gmm_fit - Gaussian mixture model, fitting
function [mys, Sigmas, ps] = lyngby_gmm_fit(X, ...
'PropertyName', 'PropertyValue')
Input: X Datamatrix, size: examples x variables. ie. if
voxels are to be clustered the datamatrix should
be voxels x time.
Property:
'Assign' Assignment vector, predefine
cluster membership
'MeanOrigin' [ {MeanTrainingSet} | ClusterCenters ]
Specifices who the center of the
gaussians should be found.
'ClusterCenters' Centers for the clusters. This
should be defined if 'MeanOrigin'
is set to 'ClusterCenters'
'VarianceType' [ {Anisotrop} | Isotrop ]
'Reg' {0} Regularization
Output: mys Centers of Gaussian clusters
Sigmas Covariance of Gaussian clusters
ps Mixing parameters

### Cross-Reference Information

This function is called by

Produced by mat2html on Wed Jul 29 15:43:40 2009

Cross-Directory links are: OFF