Fuzzy c-Means Library

This project implements Fuzzy c-means from the original paper by James Bezdek.

Advantages of this implementation

• It is a library that can be easily installed.
• The use of Eign library for matrices instead of fix n-dimentional arrays which are common in prototyping fuzzy c-means library.
• The use of dynamic sizes for matrices.
• Make the FCM as a class, with all the related variables inside, so no need for Global variables and it also allow having multiple instances of FCM.
• Add automated tests with googletest.
• Add coverage for the tests.

To Install

make install

To run the tests

make test

To run the tests with Docker

sh scripts/run_tests_with_docker.sh

Dependancies

If you are using ubuntu, there is a helper script sh scripts/setup.sh But we recommend using docker as this script might not be well maintained

Some of the dependancies:

• eigen3
• git
• cmake
• googletests
• g++
• lcov
• curl