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RunRuntime.m
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function RunRuntime(DataSetStartIndex, DataSetEndIndex, DistanceIndex)
Methods = [cellstr('ED'), 'SBD', 'MSM', 'DTW', 'EDR', 'SINK', 'GAK', 'LCSS', 'TWE', 'DISSIM', 'TQuEST', 'Swale', 'KDTW', 'ERP'];
% first 2 values are '.' and '..' - UCR Archive 2018 version has 128 datasets
dir_struct = dir('./UCR2018');
Datasets = {dir_struct(3:130).name};
% Sort Datasets
[Datasets, DSOrder] = sort(Datasets);
%LeaveOneOutAccuracies = zeros(length(Datasets),20);
%LeaveOneOutRuntimes = zeros(length(Datasets),20);
Results = zeros(length(Datasets),1);
for i = 1:length(Datasets)
if (i>=DataSetStartIndex && i<=DataSetEndIndex)
%Results = zeros(length(Datasets),4);
disp(['Dataset being processed: ', char(Datasets(i))]);
%DS = LoadUCRdataset(char(Datasets(i)));
% Parameters based on DistanceIndex choice
[Params, Params2]= DistanceToParameter(DistanceIndex);
[~,DMTESTTOTRAIN] = DistanceToDM(DistanceIndex,Datasets,i,Methods, Params(1), Params2(1));
%DMTESTTOTRAIN = DM2KM(DMTESTTOTRAIN, bestParam1);
%OneNNAcc = OneNNClassifierWITHDM(DS, DMTESTTOTRAIN);
Results(i,1) = DMTESTTOTRAIN;
%Results(i,2) = bestParam2;
%Results(i,3) = bestacc;
%Results(i,4) = OneNNAcc;
dlmwrite( strcat('RESULTS_Runtime_', char(Methods(DistanceIndex)) ), Results, 'delimiter', '\t');
end
end
end
function [DMTRAIN,DMTESTTOTRAIN] = DistanceToDM(DistanceIndex,Datasets,i,Methods, Param1, Param2)
if DistanceIndex==1
DMTRAIN = dlmread( strcat( './DM-Runtime/',char(Datasets(i)),'/', char(Datasets(i)),'_',char(Methods(DistanceIndex)),'_', num2str(Param1),'_',num2str(Param2), '.rtTrain' ) );
DMTESTTOTRAIN = dlmread( strcat( './DM-Runtime/',char(Datasets(i)),'/', char(Datasets(i)),'_',char(Methods(DistanceIndex)),'_', num2str(Param1),'_',num2str(Param2), '.rtTestToTrain' ) );
elseif DistanceIndex==2
DMTRAIN = dlmread( strcat( './DM-Runtime/',char(Datasets(i)),'/', char(Datasets(i)),'_',char(Methods(DistanceIndex)),'_', num2str(Param1),'_',num2str(Param2), '.rtTrain' ) );
DMTESTTOTRAIN = dlmread( strcat( './DM-Runtime/',char(Datasets(i)),'/', char(Datasets(i)),'_',char(Methods(DistanceIndex)),'_', num2str(Param1),'_',num2str(Param2), '.rtTestToTrain' ) );
elseif DistanceIndex==3
% MSM - 10 Parameters
DMTRAIN = dlmread( strcat( './DM-Runtime/',char(Datasets(i)),'/', char(Datasets(i)),'_',char(Methods(DistanceIndex)),'_', num2str(Param1),'_',num2str(Param2), '.rtTrain' ) );
DMTESTTOTRAIN = dlmread( strcat( './DM-Runtime/',char(Datasets(i)),'/', char(Datasets(i)),'_',char(Methods(DistanceIndex)),'_', num2str(Param1),'_',num2str(Param2), '.rtTestToTrain' ) );
elseif DistanceIndex==4
% DTW - 0-20, 100 - 22 Parameters
DMTRAIN = dlmread( strcat( './DM-Runtime/',char(Datasets(i)),'/', char(Datasets(i)),'_',char(Methods(DistanceIndex)),'_', num2str(Param1),'_',num2str(Param2), '.rtTrain' ) );
DMTESTTOTRAIN = dlmread( strcat( './DM-Runtime/',char(Datasets(i)),'/', char(Datasets(i)),'_',char(Methods(DistanceIndex)),'_', num2str(Param1),'_',num2str(Param2), '.rtTestToTrain' ) );
elseif DistanceIndex==5
% EDR - 20 Parameters
DMTRAIN = dlmread( strcat( './DM-Runtime/',char(Datasets(i)),'/', char(Datasets(i)),'_',char(Methods(DistanceIndex)),'_', num2str(Param1),'_',num2str(Param2), '.rtTrain' ) );
DMTESTTOTRAIN = dlmread( strcat( './DM-Runtime/',char(Datasets(i)),'/', char(Datasets(i)),'_',char(Methods(DistanceIndex)),'_', num2str(Param1),'_',num2str(Param2), '.rtTestToTrain' ) );
elseif DistanceIndex==6
% SINK
DMTRAIN = dlmread( strcat( './KM-Runtime/',char(Datasets(i)),'/', char(Datasets(i)),'_',char(Methods(DistanceIndex)),'_', num2str(Param1),'_',num2str(Param2), '.rtTrain' ) );
DMTESTTOTRAIN = dlmread( strcat( './KM-Runtime/',char(Datasets(i)),'/', char(Datasets(i)),'_',char(Methods(DistanceIndex)),'_', num2str(Param1),'_',num2str(Param2), '.rtTestToTrain' ) );
elseif DistanceIndex==7
% For GAK Kernel bandwidth, 26 overall
% 1-20, 0.01 0.05 0.1 0.25 0.5 0.75
DMTRAIN = dlmread( strcat( './KM-Runtime/',char(Datasets(i)),'/', char(Datasets(i)),'_',char(Methods(DistanceIndex)),'_', num2str(Param1),'_',num2str(Param2), '.rtTrain' ) );
DMTESTTOTRAIN = dlmread( strcat( './KM-Runtime/',char(Datasets(i)),'/', char(Datasets(i)),'_',char(Methods(DistanceIndex)),'_', num2str(Param1),'_',num2str(Param2), '.rtTestToTrain' ) );
elseif DistanceIndex==8
% For LCSS delta and espilon, 40 overall
%
% delta
DMTRAIN = dlmread( strcat( './DM-Runtime/',char(Datasets(i)),'/', char(Datasets(i)),'_',char(Methods(DistanceIndex)),'_', num2str(Param1),'_', num2str(Param2), '.rtTrain' ) );
DMTESTTOTRAIN = dlmread( strcat( './DM-Runtime/',char(Datasets(i)),'/', char(Datasets(i)),'_',char(Methods(DistanceIndex)),'_', num2str(Param1),'_', num2str(Param2), '.rtTestToTrain' ) );
elseif DistanceIndex==9
% For TWED lambda and nu, 30 overall
%
% lambda
DMTRAIN = dlmread( strcat( './DM-Runtime/',char(Datasets(i)),'/', char(Datasets(i)),'_',char(Methods(DistanceIndex)),'_', num2str(Param1),'_', num2str(Param2), '.rtTrain' ) );
DMTESTTOTRAIN = dlmread( strcat( './DM-Runtime/',char(Datasets(i)),'/', char(Datasets(i)),'_',char(Methods(DistanceIndex)),'_', num2str(Param1),'_', num2str(Param2), '.rtTestToTrain' ) );
elseif DistanceIndex==10
% For DISSIM
%
DMTRAIN = dlmread( strcat( './DM-Runtime/',char(Datasets(i)),'/', char(Datasets(i)),'_',char(Methods(DistanceIndex)),'_', num2str(Param1),'_', num2str(Param2), '.rtTrain' ) );
DMTESTTOTRAIN = dlmread( strcat( './DM-Runtime/',char(Datasets(i)),'/', char(Datasets(i)),'_',char(Methods(DistanceIndex)),'_', num2str(Param1),'_', num2str(Param2), '.rtTestToTrain' ) );
elseif DistanceIndex==11
% For TQUEST
%
DMTRAIN = dlmread( strcat( './DM-Runtime/',char(Datasets(i)),'/', char(Datasets(i)),'_',char(Methods(DistanceIndex)),'_', num2str(Param1),'_', num2str(Param2), '.rtTrain' ) );
DMTESTTOTRAIN = dlmread( strcat( './DM-Runtime/',char(Datasets(i)),'/', char(Datasets(i)),'_',char(Methods(DistanceIndex)),'_', num2str(Param1),'_', num2str(Param2), '.rtTestToTrain' ) );
elseif DistanceIndex==12
% For Swale
%
DMTRAIN = dlmread( strcat( './DM-Runtime/',char(Datasets(i)),'/', char(Datasets(i)),'_',char(Methods(DistanceIndex)),'_', num2str(Param1),'_', num2str(Param2), '.rtTrain' ) );
DMTESTTOTRAIN = dlmread( strcat( './DM-Runtime/',char(Datasets(i)),'/', char(Datasets(i)),'_',char(Methods(DistanceIndex)),'_', num2str(Param1),'_', num2str(Param2), '.rtTestToTrain' ) );
elseif DistanceIndex==13
% For KDTW
%
DMTRAIN = dlmread( strcat( './KM-Runtime/',char(Datasets(i)),'/', char(Datasets(i)),'_',char(Methods(DistanceIndex)),'_', num2str(Param1),'_', num2str(Param2), '.rtTrain' ) );
DMTESTTOTRAIN = dlmread( strcat( './KM-Runtime/',char(Datasets(i)),'/', char(Datasets(i)),'_',char(Methods(DistanceIndex)),'_', num2str(Param1),'_', num2str(Param2), '.rtTestToTrain' ) );
elseif DistanceIndex==14
% For ERP
%
DMTRAIN = dlmread( strcat( './DM-Runtime/',char(Datasets(i)),'/', char(Datasets(i)),'_',char(Methods(DistanceIndex)),'_', num2str(Param1),'_', num2str(Param2), '.rtTrain' ) );
DMTESTTOTRAIN = dlmread( strcat( './DM-Runtime/',char(Datasets(i)),'/', char(Datasets(i)),'_',char(Methods(DistanceIndex)),'_', num2str(Param1),'_', num2str(Param2), '.rtTestToTrain' ) );
end
end
function [Params,Params2] = DistanceToParameter(DistanceIndex)
if DistanceIndex==1
Params = 0;
Params2 = 0;
elseif DistanceIndex==2
Params = 0;
Params2 = 0;
elseif DistanceIndex==3
% MSM - 10 Parameters
%Params = [0.01,0.1,1,10,100,0.05,0.5,5,50,500];
Params = 1;
Params2 = 0;
elseif DistanceIndex==4
% DTW - 0-20, 100 - 22 Parameters
Params = [0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,100];
%Params = 5;
Params2 = 0;
elseif DistanceIndex==5
% EDR - 20 Parameters
%Params = [0.001,0.003,0.005,0.007,0.009,0.01,0.03,0.05,0.07,0.09,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1];
Params = 0.05;
Params2 = 0;
elseif DistanceIndex==6
% SINK
%Params = [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20];
Params = 20;
Params2 = 0;
elseif DistanceIndex==7
% For GAK Kernel bandwidth, 26 overall
% 1-20, 0.01 0.05 0.1 0.25 0.5 0.75
%Params = [0.01,0.05,0.1,0.25,0.5,0.75,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20];
Params = 0.1;
Params2 = 0;
elseif DistanceIndex==8
% For LCSS delta and espilon, 40 overall
%
% delta
%Params = [5,10];
Params = 5;
% epsilon
%Params2 = [0.001,0.003,0.005,0.007,0.009,0.01,0.03,0.05,0.07,0.09,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1];
Params2 = [0.1];
elseif DistanceIndex==9
% For TWED lambda and nu, 30 overall
%
% lambda
%Params = [0, 0.25, 0.5, 0.75, 1.0];
Params = [1.0];
% nu
%Params2 = [0.00001, 0.0001, 0.001, 0.01, 0.1, 1];
Params2 = [0.001];
elseif DistanceIndex==10
% For DISSIM
%
Params = 0;
Params2 = 0;
elseif DistanceIndex==11
% For TQUEST
%
%Params = [0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1,1.1,1.2,1.3,1.4,1.5,1.6,1.7,1.8,1.9,2];
Params = [0.0200000000000000,0.0400000000000000,0.0600000000000000,0.0800000000000000,0.100000000000000,0.120000000000000,0.140000000000000,0.160000000000000,0.180000000000000,0.200000000000000,0.220000000000000,0.240000000000000,0.260000000000000,0.280000000000000,0.300000000000000,0.320000000000000,0.340000000000000,0.360000000000000,0.380000000000000,0.400000000000000,0.420000000000000,0.440000000000000,0.460000000000000,0.480000000000000,0.500000000000000,0.520000000000000,0.540000000000000,0.560000000000000,0.580000000000000,0.600000000000000,0.620000000000000,0.640000000000000,0.660000000000000,0.680000000000000,0.700000000000000,0.720000000000000,0.740000000000000,0.760000000000000,0.780000000000000,0.800000000000000,0.820000000000000,0.840000000000000,0.860000000000000,0.880000000000000,0.900000000000000,0.920000000000000,0.940000000000000,0.960000000000000,0.980000000000000,1];
Params2 = 0;
elseif DistanceIndex==12
% For Swale
%
%Params = [0.01,0.03,0.05,0.07,0.09,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1];
Params = 0.1;
Params2 = 0;
elseif DistanceIndex==13
% For KDTW
%
%Params = [2^-15,2^-14,2^-13,2^-12,2^-11,2^-10,2^-9,2^-8,2^-7,2^-6,2^-5,2^-4,2^-3,2^-2,2^-1,2^0,2^1,2^2,2^3,2^4];
%Params = [2^-15,2^-14,2^-13,2^-12,2^-11,2^-10,2^-9,2^-8,2^-7,2^-6,2^-5,2^-4,2^-3];
Params = 2^-5;
Params2 = 0;
elseif DistanceIndex==14
% For ERP
%
Params = 0;
Params2 = 0;
end
end