# Classical_ML_Supervised

**Repository Path**: giteewpu/Classical_ML_Supervised

## Basic Information

- **Project Name**: Classical_ML_Supervised
- **Description**: Collection of classical ML algorithms(Bayes, KNN, SVM) as well as dimensionality reduction techniques (PCA, LDA)
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 1
- **Created**: 2025-05-27
- **Last Updated**: 2025-05-27

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README



    
## Classical Supervised Machine Learning Algorithms

# Overview
This package contains file to peroform PCA, LDA, Bayes', K-NN, Kernel SVM and boosted SVM.
The files contains the following functions:
1) PCA_fun.m 
2) LDA_fun.m 
3) KNN_fun.m
4) Bayes_Classifier_fun.m

Note: Kernel SVM and boosted SVMs are in the form of scipts.

# Dependencies
- MATLAB
- CVX (convex optimization soler) for boosted SVM.
 You can download CVX for free using this link: http://cvxr.com/cvx/doc/install.html

# Runnig the code:
In the files folder there are 14 file names of the form:

DimReductionTechnique_ClassifierName_ClassificationTask.m

Where:
- DimReductionTechnique is either PCA or LDA
- ClassifierName is Bayes, K-NN, RBF_Kernel_SVM, Poly_Kernel_SVM or Boosted SVM
- Classification task is either person classification or Expression Classification 

You may require to change few paths. 

Note: Make sure all the dependencies are satisfied before running the code (especially Bossted SVM).