tp-analyse-donnees/artificial/threenorm.arff

% Data generated using R package 'mlbench'
%
% > library("mlbench")
% > set.seed(1234)
% > data <- mlbench.threenorm(n=1000,d=2)
%
@relation threenorm
%
% The inputs of the threenorm problem are points from two Gaussian
% distributions with unit covariance matrix. Class 1 is drawn with
% equal probability from a unit multivariate normal with mean
% \eqn{(a,a,\ldots,a)} and from a unit multivariate normal with mean
% \eqn{(-a,-a,\ldots,-a)}. Class 2 is drawn from a multivariate normal
% with mean at \eqn{(a,-a,a, \ldots,-a)}, \eqn{a=2/d^{0.5}}.
%
@ATTRIBUTE x REAL
@ATTRIBUTE y REAL
@ATTRIBUTE class {1,2}
%
@data
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