
rem To divide the imagery data into the labeled set (5%) and the unlabled set (95%) according to the stratified sampling procedure
java -jar s2cotrac.jar -image "dataset\Indian_Pine_DataSet.csv" -sample .05 "sample\Indian_Pine_DataSet05.sample"

rem To create the dispersion map
rem args : >dataset> <neighbourhood size>
java -Xmx1200m -jar s2cotrac.jar  "dataset\Indian_Pine_DataSet.csv" 5

rem To perform the transductive classification process
java -Xmx1200m -jar s2cotrac.jar -image "dataset\Indian_Pine_DataSet.csv" -config "config15.ini" -sample "sample\Indian_Pine_DataSet05.sample" -report  reportIndian_Pine_DataSet05.txt  -spectralmap "dataset\Indian_Pine_DataSet.csvdispersionMapP.csv" -dcc true 


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