Description of fproj

DESCRIPTION

 FPROJ Forward Projection using the SOM

 [pr,res,bmu] = fproj(p,smap,projtype)

        p: (R x Q) vector with data points by columns
     smap: SOM struct (see INISOM, BSOM)
 projtype: String with the projection type:
           'discrete': Original discrete SOM projection (default)
           'backproj': SOM resampling followed by discrete SOM projection.
           'grnn':     Generalized Regression Neural Network
           'ls':       Uses seast squares (Ridge Regression) to compute 
                       the weight matrix

 CALLS
           [pr,res,bmu] = fproj(p,smap)
           [pr,res,bmu] = fproj(p,smap,projtype)

 DESCRIPTION
    Projects input space samples given as columns of data matrix p) onto
    the visualization space (grid space) using the projection defined by
    the som 'smap'. Projection can be either discrete or continuous.

 See also BPROJ

CROSS-REFERENCE INFORMATION

grnnsim GRNNSIM Simulate a GRNN with autoassociative completion

grnntra GRNNTRA Generalized Regression Neural Network Train

matdist MATDIST Distance matrix between sets of vectors

rectopi RECTOPI Interpolated grid with rectangular topology

correlationmatrix CORRELATIONMATRIX Interactive plot of correlation matrix

demo002 DEMO002 A 3D SOM example

demoresiduals DEMORESIDUALS classification of motor condition using residuals and grnn

mloc_loc MLOC_LOC Train the local models of a SOM

mloc_planos MLOC_PLANOS Draws planes of coefficients, selector variables and RMSE of mloc model

fproj

PURPOSE

SYNOPSIS

DESCRIPTION

CROSS-REFERENCE INFORMATION