## Copyright (C) 1996, 1997 Friedrich Leisch ## ## 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 2, 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 file. If not, write to the Free Software Foundation, ## 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA. ## usage: [in, out] = two_normal_set (n) ## ## Returns a 2 class training set of size n consisting of two bivariate ## normals with unit varianve centered around (1,1) and (-1,-1). The ## misclassification rate of the Bayesian classifier is approx. 8%. ## Author: FL <Friedrich.Leisch@ci.tuwien.ac.at> ## Description: Data for 2 normals classification problem function [in, out] = two_normal_set (n) n = ceil (n / 2); in = [randn (n, 2) + ones (n, 1) * [1 1]; randn (n, 2) + ones (n, 1) * [-1 -1] ]; out = [ones (n, 1), zeros (n, 1); zeros (n, 1), ones (n, 1)]; k = rand (2 * n, 1); [dummy, kind] = sort (k); in = in (kind, :); out = out (kind, :); endfunction

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