My capstone project report from 2015.
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Updated
Mar 7, 2016 - MATLAB
My capstone project report from 2015.
K-Nearest Neighbors Classifier
Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means
LDA, KNN, GA, K-means on Iris, Sonar and USPS datasets.
Source Code for KNN Matting, CVPR 2012 / TPAMI 2013. MATLAB code ready to run. Simple and robust implementation under 40 lines.
pattern recognition projects
A simple implementation for K nearest neighbor algorithm with k-fold cross-validation.
Loop-Free KNN algorithm for GNU Octave and Matlab
Scripts for machine learning algorithms in MATLAB/Octave and python
This MATLAB code implements the binary Grass hopper optimization algorithm to select the features and train with KNN
Test my MNIST data using kNN
MRSR - Matlab Recommender Systems Research is a software framework for evaluating collaborative filtering recommender systems in Matlab.
Simple classifiers based on Euclidean distance. Tests with two types of signals, using some input attributes such as skewness and kurtosis. Tested classifiers: KNN (K-Nearest Neighbors) and NPC (Nearest Prototype Classifier)
Apply and evaluate some basic machine learning algorithms on breast cancer prediction.
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