GitHub - ganggit/dlmmc: deep transductive learning for semi-supervised clustering

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deep transductive learning for semi-supervised clustering

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Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
NMI.m		NMI.m
README.txt		README.txt
baselines.m		baselines.m
baselines_coil100.m		baselines_coil100.m
baselines_coil100_DBN.m		baselines_coil100_DBN.m
baselines_coil100_tSNE.m		baselines_coil100_tSNE.m
baselines_segmentation.m		baselines_segmentation.m
baselines_sonar.m		baselines_sonar.m
batchdata_reshape.m		batchdata_reshape.m
coil100_baseline.mat		coil100_baseline.mat
coil100_depth.mat		coil100_depth.mat
coil_100.mat		coil_100.mat
coil_100_DBN.mat		coil_100_DBN.mat
computeMdist.m		computeMdist.m
constrainedMMC_dbn_1.m		constrainedMMC_dbn_1.m
constrainedMMC_dbn_2.m		constrainedMMC_dbn_2.m
constrainedMMC_hidden.m		constrainedMMC_hidden.m
constrainedMMC_hidden2.m		constrainedMMC_hidden2.m
dbn_grbm.m		dbn_grbm.m
demo_dbn_2.m		demo_dbn_2.m
demo_digits.m		demo_digits.m
drawfig.m		drawfig.m
dtmmc_constrains.m		dtmmc_constrains.m
dtmmc_demo_coil100.m		dtmmc_demo_coil100.m
dtmmc_gradient_update.m		dtmmc_gradient_update.m
evaluate_Acc.m		evaluate_Acc.m
evaluate_pairwise.m		evaluate_pairwise.m
evaluate_pairwise2.m		evaluate_pairwise2.m
evaluate_pairwise3.m		evaluate_pairwise3.m
extendedPEGASOS_dbn_1.m		extendedPEGASOS_dbn_1.m
extendedPEGASOS_dbn_2.m		extendedPEGASOS_dbn_2.m
extendedPEGASOS_hidden.m		extendedPEGASOS_hidden.m
generateconstraints.m		generateconstraints.m
get_rbm_default_params.m		get_rbm_default_params.m
hidden_smmc.m		hidden_smmc.m
init_layer_dbn.m		init_layer_dbn.m
kernelkmeans.m		kernelkmeans.m
mapByY.m		mapByY.m
method_compare.m		method_compare.m
mmc_grad_func.m		mmc_grad_func.m
mmc_grad_func2.m		mmc_grad_func2.m
ncc_soft.m		ncc_soft.m
projection.m		projection.m
read_coil.m		read_coil.m
read_depth_compare.m		read_depth_compare.m
readcoil_20.m		readcoil_20.m
reshape_to_batch.m		reshape_to_batch.m
sigmoid.m		sigmoid.m
spclustering.m		spclustering.m
test_hidden_mmc.m		test_hidden_mmc.m
train_lin_rbm.m		train_lin_rbm.m
train_rbm2.m		train_rbm2.m
translateLabelsToConstraints.m		translateLabelsToConstraints.m

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README
This package implements the deep tranductive learning for semi-supervised clusteirng. 
Two key files are:
dtmmc_constrains.m --- generalized the pairwise constraints
dtmmc_gradient_update.m --- computer the gradient and update the parameters

To test the code, the user can run dtmmc_demo_coil100.m


For more details about the model please refer to:

Deep transductive semi-supervised maximum margin clustering, in arxiv.