NLP, Python, Scikit Learn.
-1 -1] Unfortunately, using 300.000 dimensions puts all results into 1 cluster. And with the 3D PCA reduced vectors, several documents remain detected as -1, too noisy data. To improve the DBSCAN results, I tried different parameters, like DBSCAN(eps=1.0, min_samples=10, algorithm='brute', but to