test_Cucuringu16_constrained.sh 3.51 KB
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#!/bin/bash

matlab_path= 	# Path to Matlab executable

n_proc=1	# Number of processes to execute in parallel, -1 unlimited

trap "trap - SIGTERM && kill -- -$$ && exit" SIGINT SIGTERM EXIT

function limitjobs {
   	if [ "${n_proc}" != "-1" ]
	then
		while [ `jobs -rp | wc -l` -ge ${n_proc} ]
		do
			sleep 5
		done
	fi
}


subdir=Cucuringu16
data_path=./datasets
test_type=test

outdir=./methods/${subdir}/clusterings/constrained
resdir=./results/${subdir}/constrained
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satdir=./constraint_satisfaction/${subdir}
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mkdir -p ${outdir}
mkdir -p ${resdir}
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mkdir -p ${satdir}
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for d in ${data_path}/*/
do
	dataname=`basename ${d}`
	echo ${dataname}

        case "$dataname" in
            ECG5000)
                sigma=0.5
                alpha=5
            ;;
            ElectricDevices)
                sigma=1
                alpha=5
            ;;
            FacesUCR)
                sigma=0.5
                alpha=10
            ;;
            InsectWingbeatSound)
                sigma=0.5
                alpha=8
            ;;
            MALLAT)
                sigma=1
                alpha=6
            ;;
            StarLightCurves)
                sigma=0.5
                alpha=2
            ;;
            TwoPatterns)
                sigma=0.5
                alpha=3
            ;;
            UWaveGestureLibraryAll)
                sigma=1
                alpha=10
            ;;
            uWaveGestureLibraryX)
                sigma=0.5
                alpha=6
            ;;
	esac

	distancefilename=${data_path}/${dataname}/${test_type}/${dataname}.distances
	kfilename=${data_path}/${dataname}/${test_type}/${dataname}.k
	labelsfilename=${data_path}/${dataname}/${test_type}/${dataname}.labels

	resultdir=./methods/${subdir}/results/${test_type}/constrained
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	satisfactiondir=./methods/${subdir}/constraint_satisfaction/${test_type}
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	mkdir -p ${resultdir}
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	mkdir -p ${satisfactiondir}
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	for constraintsfilename in $(find ${data_path}/${dataname}/${test_type} -name '*.constraints')
	do

		limitjobs

		{

			IN=`basename ${constraintsfilename%.*}`
			arrIN=(${IN//_/ })
			cnstrnt_frac=${arrIN[1]}
			cnstrnt_iter=${arrIN[2]}

			filenamepattern=${dataname}_${test_type}_${cnstrnt_frac}_${cnstrnt_iter}

			outfilename=${outdir}/${filenamepattern}.clustering
			resultfilename=${resultdir}/${filenamepattern}.results
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			satisfactionfilename=${satisfactiondir}/${filenamepattern}.satisfaction
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			if [ ! -f ${resultfilename} ]
			then
				echo ${resultfilename}

				rm -f ${outfilename}

				${matlab_path}matlab -nojvm -nodisplay -nosplash -r "addpath(genpath('methods/${subdir}')); addpath(genpath('utils')); test_clustering_Cucuringu16('${distancefilename}', '${constraintsfilename}', '${kfilename}', '${outfilename}', '${sigma}', '${alpha}');quit"

				if [ -f ${outfilename} ]
				then
					Rscript --vanilla ./utils/cluster_index.R ${labelsfilename} ${outfilename} ${resultfilename}
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					python ./utils/constraint_satisfaction.py -r ${outfilename} -c ${constraintsfilename} -o ${satisfactionfilename} -i 1
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				fi
			fi

		} &

	done

	wait

	for cnstrnt_frac in 0.05 0.1 0.15 0.5
	do
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		resoutfilename=${resdir}/${dataname}_${test_type}_${cnstrnt_frac}.results
		satoutfilename=${satdir}/${dataname}_${test_type}_${cnstrnt_frac}.satisfaction
		
		rm -f ${resoutfilename}
		rm -f ${satoutfilename}
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		Rscript --vanilla ./utils/summarise_results.R ${resultdir} ${dataname} ${test_type} ${cnstrnt_frac} ${outfilename}
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		Rscript --vanilla ./utils/summarise_satisfaction_results.R ${resultdir} ${dataname} ${test_type} ${cnstrnt_frac} ${satoutfilename}

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	done
done