# This project is an implementation of a simple K-means algorithm

### Related tags

Algorithms python clustering kmeans

# Simple-Kmeans-Clustering-Algorithm

### Abstract

K-means is a centroid-based algorithm, or a distance-based algorithm, where we calculate the distances to assign a point to a cluster. In K-means, each cluster is associated with a centroid. The main objective of the K-Means algorithm is to minimize the sum of distances between the points and their respective cluster centroid. Here is an example of how this algorithm works:

#### To use this work on your researches or projects you need:

• Python 3.7.0
• Python packages:
• matplotlib
• numpy
• scikit_learn

#### To install Python:

First, check if you already have it installed or not.

``````python3 --version
``````

If you don't have python 3 in your computer you can use the code below:

``````sudo apt-get update
sudo apt-get install python3
``````

#### To install packages via pip install:

``````sudo pip3 install matplotlib numpy scikit_learn
``````

If you haven't installed pip, you can use the codes below in your terminal:

``````sudo apt-get update
sudo apt install python3-pip
``````

You should check and update your pip:

``````pip3 install --upgrade pip
``````
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