DP.initialSample        Initial sampling of DUPLEX
DP.reSample             Repeat sampling of DUPLEX
DSAM_test_largeData     large test dataset
DSAM_test_modData       Moderate test dataset
DSAM_test_smallData     Small test dataset
DUPLEX                  'DSAM' - DUPLEX algorithm
MDUPLEX                 'DSAM' - MDUPLEX algorithm
SBSS.P                  'DSAM' - SBSS.P algorithm
SOMPLEX                 'DSAM' - SOMPLEX algorithm
SS                      'DSAM' - SS algorithm
SSsample                Core function of SS sampling
TIMECON                 'DSAM' - Time-consecutive algorithm
checkFull               Check whether the sample set is full
dataSplit               Main function of data splitting algorithm
getAUC                  Get the AUC value between two datasets
getMax                  Get the maximum of the output column from the
                        original data set
getMean                 Get the mean and standard deviation of the
                        output column from the original data set
getMin                  Get the minimum of the output column from the
                        original data set
getSnen                 Get sampling number of each SOM neuron
par.default             Default parameter list
remainUnsample          Get the remain unsampled data after 'SSsample'
selectData              Select specific split data
somCluster              Self-organized map clustering
standardise             Standardized data
