% Time recordings of four datasets (Corel Color Moments, Phy, Miniboone,
% Pokerhand), for 5 different algorithm versions: find() and hybrid with
% cutoff at 0.01, 0.05, 0.1 and 0.2

%script plots all times for good overview

%datasets:
% CCM - rows 1, 5, 9
% Phy - rows 2, 6, 10
% miniboone - rows 3, 7, 11
% pokerhand - rows 4, 8, 12

%algorithms:
% find - column 1
% hybrid cutoff 0.01 - column 2
% hybrid cutoff 0.05 - column 3
% hybrid cutoff 0.1 - column 4
% hybrid cutoff 0.5 - column 5

times = [
13.96 14.05 16.83 15.89 17.57;
55.95 56.84 69.23 119.28 126.78;
29.43 31.74 30.71 31.91 32.56;
166.97 212.37 199.72 200.91 211.93;
3.87 2.61 3.2 2.5 2.92;
26.91 29.11 43.72 44.23 44.25;
6.81 3.82 3.51 3.57 3.54;
51.81 22 20.6 21.1 21.1;
27.91 36.58 38.36 48.13 37.67;
28.24 29.2 46.22 46.24 25.85;
7.27 3.9 3.5 3.57 3.52;
58.83 36.35 36.44 36.53 24.91];

figure(1)
subplot(2, 2, 1)
bar(times([1, 5, 9], :)')
title('Corel Color Moments')
xlabel('algorithm')
ylabel('time(seconds)')
legend('L = 30, K = 10', 'L = 10, K = 10', 'L = 10, K = 5', 'location', 'NorthWest')
set(gca, 'XTickLabel', {'find', 'cutoff 0.01', 'cutoff 0.05', 'cutoff 0.1', 'cutoff 0.2'})

subplot(2, 2, 2)
bar(times([2, 6, 10], :)')
title('Phy')
xlabel('algorithm')
ylabel('time(seconds)')
legend('L = 30, K = 10', 'L = 10, K = 10', 'L = 10, K = 5', 'location', 'NorthWest')
set(gca, 'XTickLabel', {'find', 'cutoff 0.01', 'cutoff 0.05', 'cutoff 0.1', 'cutoff 0.2'})

subplot(2, 2, 3)
bar(times([3, 7, 11], :)')
title('Miniboone')
xlabel('algorithm')
ylabel('time(seconds)')
legend('L = 30, K = 10', 'L = 10, K = 10', 'L = 10, K = 5', 'location', 'NorthWest')
set(gca, 'XTickLabel', {'find', 'cutoff 0.01', 'cutoff 0.05', 'cutoff 0.1', 'cutoff 0.2'})

subplot(2, 2, 4)
bar(times([4, 8, 12], :)')
title('Pokerhand')
xlabel('algorithm')
ylabel('time(seconds)')
legend('L = 30, K = 10', 'L = 10, K = 10', 'L = 10, K = 5', 'location', 'NorthWest')
set(gca, 'XTickLabel', {'find', 'cutoff 0.01', 'cutoff 0.05', 'cutoff 0.1', 'cutoff 0.2'})