lyngby_km_error

(export/lyngby/lyngby_km_error.m)

Function Synopsis

[e, mys, Sigmas, ps] = lyngby_km_error(X, a, arg1, arg2, arg3, arg4, ...

Help text

 lyngby_km_error      - K-means, error 

	function [e, mys, Sigmas, ps] = lyngby_km_error(X, a, ...
           'PropertyName', 'PropertyValue')

       Input:  X   Datamatrix, size: examples x variables. ie. if
                   voxels are to be clustered the datamatrix should
                   be voxels x time.
               a   Assignment vector
		Property:
                  '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
                  'TrainingSet'    Indices for the training set. The
                                   first half of the dataset will be
                                   used if it is not defined.
                  'ValSet'         Indices for the validation set

 	Output:	e   Error, negative log of p(x)

       See also: lyngby_gmm_fit, lyngby_gmm_error

Cross-Reference Information

lyngby_gmm_errorexport/lyngby/lyngby_gmm_error.m
lyngby_gmm_fit export/lyngby/lyngby_gmm_fit.m
lyngby_set_and export/lyngby/lyngby_set_and.m
lyngby_set_diffexport/lyngby/lyngby_set_diff.m