28 lines
551 B
Matlab
28 lines
551 B
Matlab
% correlation coefficients:
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n = 10000;
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x = randn( n, 1 );
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f = figure( 1 );
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for r = 0.01:0.19:1
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fprintf( 'Correlation = %g\n', r );
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clf( f );
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y = r*x + sqrt(1-r^2)*randn( n, 1 );
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pca2d( x, y, 0, 5.0, 3.0 );
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pause( 1.0 );
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end
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% two distributions:
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n = 10000;
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x1 = randn( n/2, 1 );
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y1 = randn( n/2, 1 );
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x2 = randn( n/2, 1 );
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y2 = randn( n/2, 1 );
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f = figure( 1 );
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for d = 0:1:5
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fprintf( 'Distance = %g\n', d );
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clf( f );
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x = [ x1+d; x2-d ];
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y = [ y1+d; y2-d ];
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pca2d( x, y, 0, 10.0, 7.0 );
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pause( 1.0 );
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end
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