# Machine learning

# Supervised npe(neighborhood preserving embedding) subspace for dimension reduction in matlab

# Neuro fuzzy classifier in matlab

# Compressive classifier in matlab

# Precision recall and roc curves in matlab

# Logistic Regression Matlab Code

logistic regression, or logit regression, is a type of probabilistic statistical classification model. It is also used to predict a binary response from a binary predictor, used for predicting the outcome of a categorical dependent variable (i.e., a class label) based on one or more predictor variables (features).

The following matlab project contains the source code and matlab examples used for logistic regression.

# Hot to run weka classifiers within matlab

# Multilinear principal component analysis (mpca) in matlab

# Fast kernel density estimator (multivariate) in matlab

# Expectation maximization of gaussian mixture models via cuda in matlab

# 3d visualization of gmm learning via the em algorithm in matlab

# Expectation maximization algorithm with gaussian mixture model in matlab

# Useful matlab functions for speaker recognition using adapted gaussian mixture model

# Em algorithm for gaussian mixture model with background noise in matlab

# Parameter estimation technique for general datasets in matlab

# Adaboost Matlab Code

AdaBoost, short for "Adaptive Boosting", is a machine learning meta-algorithm formulated by Yoav Freund and Robert Schapire who won the prestigious "Gödel Prize" in 2003 for their work.It can be used in conjunction with many other types of learning algorithms to improve their performance.

# Boosting demo in matlab

# Multiclass gentleadaboosting in matlab

# Adaboost: the meta machine learning algorithm formulated by yoav freund and robert schapire in matlab

# Adaboost: the meta machine learning algorithm formulated by yoav freund and robert schapire in matlab

# Retinal vessel detection by gabor transform and machine learning, a tutorial in matlab

# Em algorithm for gaussian mixture model in matlab

# Neural network hebb learning rule in matlab

# Auto associative neural network classifier for pattern classification in matlab

# Pca Matlab Code

Principal component analysis (PCA) is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components.

# Genetic Algorithm Matlab Code

Genetic algorithm (GA) is a search heuristic that mimics the process of natural selection. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimization and search problems.[1] Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.