Fuzzy Possibilistic C-Means Clustering (FPCM)

This is the Jupyter Notebook and the Dataset for the mentioned Classification Predictive Modeling

Description

This project is a fish data classification project using Fuzzy Possibilistic C-Means Clustering or FPCM algorithm that combines Fuzzy C-Means (FCM) and Possibilistic C-Means (PCM) methods.

About the dataset:

The dataset we use is a dataset titled Fish, which presents data on 7 types of fish with a description of the length, height, width, and weight of the fish. We took the dataset from Kaggle in csv format.

Requirements

• Python
• Jupyter Notebook

Download and Installation:

1. Clone this repository to your local machine by either clicking on clone button or you can do it form git bash or linux terminal using following command.

git clone https://github.com/dunasi4139/Fuzzy-Possibilistic-C-Means-Clustering-FPCM-.git

2. Once you have codes on your local machine now run jupyter on your machine then upload the code and respective dataset to jupyter home.
3. Now you have codes in your jupyter repository or folder now you can see your project on home in jupyter now click on and a new windows with browser will be opened up now click run button and you will see the results.

How to contribute

1. Fork this repository
2. clone that repository

git clone link_of_that_repository

3. Make changes that you want in local repository
4. Add those changes

git add .

5. commmit those changes

git commit -m 'name of commit'

6. push changes to remote repository
7. create pull request