plot_prev.m

数据挖掘算法中空间同位规则挖掘的matlab源码

function []= plot_prev(sample, prev_part)
%sample is the original sample data
%prev_part is the prevalent size 2 co-location


load feature0.txt
load feature1.txt
load feature2.txt
load feature3.txt
load feature4.txt
load feature5.txt
load feature6.txt
load feature7.txt
load feature8.txt
load feature9.txt
x0=feature0(:, 2);
y0=feature0(:, 3);
x1=feature1(:, 2);
y1=feature1(:, 3);
x2=feature2(:, 2);
y2=feature2(:, 3);
x3=feature3(:, 2);
y3=feature3(:, 3);
x4=feature4(:, 2);
y4=feature4(:, 3);
x5=feature5(:, 2);
y5=feature5(:, 3);
x6=feature6(:, 2);
y6=feature6(:, 3);
x7=feature7(:, 2);
y7=feature7(:, 3);
x8=feature8(:, 2);
y8=feature8(:, 3);
x9=feature9(:, 2);
y9=feature9(:, 3);
figure;
axis([0 80 0 80])
title('Co-location Patterns - Size 2 Co-locations (noise in blue)')
xlabel('X')
ylabel('Y')
hold on
plot(x0, y0, 'go');
plot(x1, y1, 'g*');
plot(x2, y2, 'gx');
plot(x3, y3, 'g+');
plot(x4, y4, 'gs');
plot(x5, y5, 'gd');
plot(x6, y6, 'g<');
plot(x7, y7, 'g>');
plot(x8, y8, 'gp');
plot(x9, y9, 'g^');

symbol = ['o','*','x','+', 's', 'd','<','>', 'p','^'];
color= ['b', 'r','k', 'y','m','c'];

for i=1:length(prev_part(:,1))
    featurei_id = find(sample(:,2) == prev_part(i,2)); 
    featurej_id = find(sample(:,2) == prev_part(i,3)); 
    sample(featurei_id,3:4)
    plot(sample(featurei_id,3), sample(featurei_id,4), [color(i) symbol(1,prev_part(i,2)+1)]);
    sample(featurej_id,3:4)
    plot(sample(featurej_id,3),sample(featurej_id,4), [color(i) symbol(1,prev_part(i,3)+1)]);
end

hold off;