Here, you can find the implementation and comparison of the following unsupervised learning methods:
- Clustering (on geographical and textual data):
- Spectral (custom implementation)
- K-Means
- DBSCAN
- Text Topic Modeling::
- K-Means on tf-idf
- Latent Dirichlet Allocation (LDA)
The work also includes the application of semi-supervised methods in machine learning:
- Label Propagation algorithm (LPA)
- Label Spreading algorithm (LSA)