GitHub - swissbib/clustering_metadata: clustering of bibliographic data with a focus on machine learning methods

Name		Name	Last commit message	Last commit date
Latest commit History 74 Commits
data		data
daten_goldstandard		daten_goldstandard
documentation		documentation
html version		html version
pdf version		pdf version
results		results
.gitignore		.gitignore
01_Proposal.pdf		01_Proposal.pdf
02_Submission.pdf		02_Submission.pdf
0_OverviewSummary.ipynb		0_OverviewSummary.ipynb
1_DataAnalysis.ipynb		1_DataAnalysis.ipynb
2_GoldstandardDataPreparation.ipynb		2_GoldstandardDataPreparation.ipynb
3_DataSynthesizing.ipynb		3_DataSynthesizing.ipynb
4_FeatureMatrixGeneration.ipynb		4_FeatureMatrixGeneration.ipynb
5_FeatureDiscussionDummyBaseline.ipynb		5_FeatureDiscussionDummyBaseline.ipynb
6_DecisionTreeModel.ipynb		6_DecisionTreeModel.ipynb
7_SVCModel.ipynb		7_SVCModel.ipynb
8_NeuralNetwork.ipynb		8_NeuralNetwork.ipynb
A_References.ipynb		A_References.ipynb
B_CompareSimilarities.ipynb		B_CompareSimilarities.ipynb
C_AssessmentSyntheticModels.ipynb		C_AssessmentSyntheticModels.ipynb
Notes of 1-to-1 with epfl.docx		Notes of 1-to-1 with epfl.docx
classifier_fitting_funcs.py		classifier_fitting_funcs.py
data_analysis_funcs.py		data_analysis_funcs.py
data_preparation_funcs.py		data_preparation_funcs.py
modify_data_funcs.py		modify_data_funcs.py
project-proposal-andreas-jud.ipynb		project-proposal-andreas-jud.ipynb
requirements.txt		requirements.txt
results_analysis_funcs.py		results_analysis_funcs.py
results_saving_funcs.py		results_saving_funcs.py
test.txt		test.txt