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## Copyright (C) 2006 Michael Creel <michael.creel@uab.es>
##
## This program is free software; you can redistribute it and/or modify it under
## the terms of the GNU General Public License as published by the Free Software
## Foundation; either version 3 of the License, or (at your option) any later
## version.
##
## This program is distributed in the hope that it will be useful, but WITHOUT
## ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
## FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
## details.
##
## You should have received a copy of the GNU General Public License along with
## this program; if not, see <http://www.gnu.org/licenses/>.
## __kernel_normal: this function is for internal use by kernel_density
## and kernel_regression
##
## product normal kernel
## input: PxK matrix - P data points, each of which is in R^K
## output: Px1 vector, input matrix passed though the kernel
## other multivariate kernel functions should follow this convention
function z = __kernel_normal(z)
z = normpdf(z);
z = prod(z,2);
endfunction

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