mount2.m

如果你看过神经模糊与软运算这本书,相信你一定想得到它的源代码.

data_n = 100;
% === cluster 1
c1 = 0.6 + j*0.2;
data1 = c1 + (randn(data_n,1) + j*randn(data_n,1))/10;
% === cluster 2
c2 = 0.2 + j*0.6;
data2 = c2 + (randn(data_n,1) + j*randn(data_n,1))/10;
% === cluster 3
c3 = 0.8 + j*0.8;
data3 = c3 + (randn(data_n,1) + j*randn(data_n,1))/10;
% === final data
data = [data1; data2; data3];
tmp1 = (real(data)<0) | (real(data)>1);
tmp2 = (imag(data)<0) | (imag(data)>1);
index = tmp1 | tmp2;

data(find(index == 1), :) = [];

point_n = 21;
x = linspace(0, 1, point_n);
y = linspace(0, 1, point_n);
[xx, yy] = meshgrid(x, y);
grid_point = xx(:) + j*yy(:);

grid_n = size(grid_point, 1);
data_n = size(data, 1);

tmp1 = grid_point*ones(1, data_n);
tmp2 = ones(grid_n, 1)*data.';
tmp = tmp1 - tmp2;
dist = sqrt(real(tmp).^2 + imag(tmp).^2);

blackbg;
subplot(3,4,1);
sigma = 0.1;
mountain = sum(exp(-dist.*dist/(2*sigma^2))')';
zz = reshape(mountain, point_n, point_n);
mesh(xx, yy, zz);
view([-30 60]);
set(gca, 'box', 'on');
title('(a)');
max_mountain = max(mountain);
min_mountain = min(mountain);
axis([-inf inf -inf inf min_mountain max_mountain]); 

subplot(3,4,2);
[max_height, max_index] = max(mountain);
beta = 0.1;
tmp = grid_point - grid_point(max_index);
dist1 = sqrt(real(tmp).^2 + imag(tmp).^2);
to_be_removed = max_height*exp(-dist1.*dist1/(2*beta^2));
mountain = mountain - to_be_removed;
zz = reshape(mountain, point_n, point_n);
mesh(xx, yy, zz);
view([-30 60]);
set(gca, 'box', 'on');
title('(b)');
axis([-inf inf -inf inf min_mountain max_mountain]); 


subplot(3,4,3);
[max_height, max_index] = max(mountain);
beta = 0.1;
tmp = grid_point - grid_point(max_index);
dist1 = sqrt(real(tmp).^2 + imag(tmp).^2);
to_be_removed = max_height*exp(-dist1.*dist1/(2*beta^2));
mountain = mountain - to_be_removed;
zz = reshape(mountain, point_n, point_n);
mesh(xx, yy, zz);
view([-30 60]);
set(gca, 'box', 'on');
title('(c)');
axis([-inf inf -inf inf min_mountain max_mountain]); 


subplot(3,4,4);
[max_height, max_index] = max(mountain);
beta = 0.1;
tmp = grid_point - grid_point(max_index);
dist1 = sqrt(real(tmp).^2 + imag(tmp).^2);
to_be_removed = max_height*exp(-dist1.*dist1/(2*beta^2));
mountain = mountain - to_be_removed;
zz = reshape(mountain, point_n, point_n);
mesh(xx, yy, zz);
view([-30 60]);
set(gca, 'box', 'on');
title('(d)');
axis([-inf inf -inf inf min_mountain max_mountain]);