Machine-Learning

This repository stores the codes developed for the machine learning discipline at federal university of uberlandia. Each code it's going to be developed in the programming language that I judged the easier for the problem set.

Hebbrule.c

Implementation of the hebb rulo to learn bipolar expressions like [-1, -1, 1, 1] , similar to binary expressions , but instead of having 0 and 1s , it has -1 and 1s. The code was developed to show the failure of the hebb rule when it tries to learn the bipolar expressions similar to XOR and XNOR. The code accepts the input using argv , so when run the code , run like this > ./Hebbrule 1 -1 1 -1

Adaline.c

Implementation of the adaline neuron to learn the bipolar expression [-1, -1, 1, 1]

Sonar.py

Multi layer neural network build to learn how to identify signal from a sonar file ( identify what the sonay is seeing ).

K-means.py and K-means++.py

Implementation of the two classic clustering algortithms , with it plot results over a txt dataset.