This repo contains implementations from Statistical Pattern Recognition Operations and Theories using numpy and matplotlib.
- Covariense
- Bayes Decision Boundary
- Eigen Valuess
- Eigen Vectors
- Maximum Likliy Hood
- Maximum A Posterior
- Bayes Risk
- Multivariate Gaussian Log-pdf
ctx3 print
┌── 📂 Project structure:
├── .gitignore (146 bytes)
├── Plots (4096 bytes)
│ ├── classifiers_comparison.png (335996 bytes)
│ ├── eigenvalues_results.csv (317 bytes)
│ ├── eigenvectors_scatter_plot.png (150604 bytes)
│ ├── prior_effects_on_boundary.png (611633 bytes)
│ └── reconstruction_comparison.png (808890 bytes)
├── README.md (337 bytes)
├── bayes_decision_boundary.py (4817 bytes)
├── configs.py (37 bytes)
├── eigen_vals_vects.py (12590 bytes)
├── ml_mlp_risk.py (9373 bytes)
├── report (4096 bytes)
│ ├── SPR_HW2_Report.pdf (3404737 bytes)
│ └── report.md (15189 bytes)
└── tests (4096 bytes)
└── test_eigen_vals_vects.py (940 bytes)