## 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: four_normal_set (n) ## ## Returns a 4 class training set of size n consisting of four bivariate ## normals with unit variance centered around (+/- 1.5, +/- 1.5). The ## misclassification rate of the Bayesian classifier is 12.9 %. ## Author: FL <Friedrich.Leisch@ci.tuwien.ac.at> ## Description: Data for four normal classification problem function [in, out] = four_normal_set (n) n = ceil (n / 4); in = randn (n, 2) + ones (n, 1) * [1.5 1.5]; in = [in; randn (n, 2) + ones (n, 1) * [-1.5 -1.5] ]; in = [in; randn (n, 2) + ones (n, 1) * [1.5 -1.5] ]; in = [in; randn (n, 2) + ones (n, 1) * [-1.5 1.5] ]; out = ones (n,1) * [1 0 0 0]; out = [ out; ones (n,1) * [0 1 0 0] ]; out = [ out; ones (n,1) * [0 0 1 0] ]; out = [ out; ones (n,1) * [0 0 0 1] ]; k = rand (4 * n, 1); [dummy, kind] = sort (k); in = in (kind, :); out = out (kind, :); endfunction

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