K-Means Clustering on full dimensional data:
N_CLUSTERS=2 python -m app.clustering.kmeans
N_CLUSTERS=4 python -m app.clustering.kmeans
K-Modes Clustering on full dimensional data:
N_CLUSTERS=2 python -m app.clustering.kmodes
N_CLUSTERS=4 python -m app.clustering.kmodes
Spectral Clustering on full dimensional data:
python -m app.clustering.spectral
N_CLUSTERS=2 python -m app.clustering.spectral
N_CLUSTERS=4 python -m app.clustering.spectral
DBSCAN Clustering on full dimensional data (note: DBSCAN determines the number of clusters):
python -m app.clustering.dbscan
MIN_SAMPLES=10 python -m app.clustering.dbscan
HDBSCAN Clustering on full dimensional data (note: HDBSCAN determines the number of clusters):
python -m app.clustering.hdbscan
MIN_CLUSTER_SIZE=10 python -m app.clustering.hdbscan