K means clustering written by Python using Pandas and Scikit for manipuliate the xlsx data set.

• Python 2.7
• Git 2.26
• PyCharm IDEA (recommend)

You can modify or contribute to this project by following the steps below:

1. Clone the repository

• Open terminal ( Ctrl + Alt + T )

• Clone to a location on your machine.

# Clone the repository 
$> git clone https://github.com/attiasas/k-means-clustering.git  

# Navigate to the directory 
$> cd k-means-clustering

2. launch of the project

# run 
$> python k-means-clustering.py

3. Choose a path include the files that in /dir

    dataset.xlsx (the data set for the K Means Algorithm you would like to cluster)
   

4. Click "Preprocces" and wait serval of seconds till success message will appear.

5. Click "Cluster"

This program is free software: you can redistribute it and/or modify it under the terms of the MIT LICENSE as published by the Free Software Foundation.

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