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This repo contains implementations from Statistical Pattern Recognition Operations and Theories using numpy and matplotlib.

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ParsaBordbar/SPR

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SPR

This repo contains implementations from Statistical Pattern Recognition Operations and Theories using numpy and matplotlib.

Theories That This Repo Covers (For Now):

  • 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)

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This repo contains implementations from Statistical Pattern Recognition Operations and Theories using numpy and matplotlib.

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