├── .gitignore ├── LICENSE ├── NOTICE ├── README.md ├── examples ├── brownianpaths │ ├── brownianPathGeneration.ipynb │ ├── img │ │ ├── clusterPathRealisations.png │ │ ├── kthEigengap.png │ │ ├── maximumEigengap.png │ │ ├── nClustersBestRevealed.png │ │ ├── suggestedClusterPathsPartition1.png │ │ ├── suggestedClusterPathsPartition2.png │ │ └── suggestedClusterPathsPartition3.png │ ├── main.ipynb │ └── utils.py └── gaussianclouds │ ├── img │ ├── kthEigengap.png │ ├── maximumEigengap.png │ ├── nClustersBestRevealed.png │ ├── points.png │ ├── suggestedClusterPointsPartition1.png │ ├── suggestedClusterPointsPartition2.png │ ├── suggestedClusterPointsPartition3.png │ └── suggestedClusterPointsPartition4.png │ ├── main.ipynb │ └── utils.py ├── ref └── A New Approach to Data-Driven Clustering.pdf ├── setup.sh ├── src ├── clustering.py ├── kernels.py ├── metrics.py ├── similarities.py └── utils │ ├── __init__.py │ └── general.py └── test ├── test_clustering.py └── test_metrics.py /.gitignore: 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