| KERNELPROJ | |
Kernel projection.
Synopsis:
Y = kernelproj(X, model)
out_data = kernelproj(in_data, model)
Description:
Y = kernelproj(X, model) this function maps input vectors
X [dim x num_data] onto vectors Y [new_dim x num_data]
using the kernel projection
Y(:,i) = Alpha' * kernel(sv.X, X(:,i), ker, arg) + b
where parameters of the projection are given in model:
.Alpha [nsv x new_dim] Multipliers.
.b [new_dim x 1] Bias.
.sv.X [dim x nsv] Vectors.
.options.ker [string] Kernel identifier.
.options.arg [1 x narg] Kernel argument.
out_data = kernelproj(in_data, model) assumes that in_data
is a structure containing vectors X and labels y.
The output structute out_data is constructed as
out_data.X = kernelproj(in_data.X, model)
out_data.y = in_data.y
Example:
help kpca;
help gda;
See also
GDA, KPCA, LINPROJ, KERNEL.
About: Statistical Pattern Recognition Toolbox
(C) 1999-2003, Written by Vojtech Franc and Vaclav Hlavac
Czech Technical University Prague
Faculty of Electrical Engineering
Center for Machine Perception
Modifications:
19-sep-2004, VF, core of the function rewritten to C
14-may-2004, VF
4-may-2004, VF