K-Means Clustering Algorithm with Python Tutorial

Published: 17 November 2021
on channel: Andy McDonald

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K-Means clustering is a popular unsupervised machine learning algorithm that is commonly used in the exploratory data analysis phase of a project. It groups data together into clusters based on similarities within the data. In this tutorial, we will go through the basics of running a k-means algorithm on well log data.

My Medium article this video is based on. Check it out as it contains more examples and extra plots.
https://towardsdatascience.com/how-to...

Timestamps:
0:00 Introduction
0:53 K-Means Clustering Theory
2:56 Jupyter Notebook Loading Data & Importing Libraries
5:53 Applying a Standard Scaler
8:27 Identifying Optimum Number of Clusters - Elbow Plot
11:20 Appling K-Means Clustering Algorithm
12:55 Plotting K-Means Clustering Results on a Scatter Plot
14:25 Comparing Results from Multiple K Values
18:40 Other Clustering Methods & Outro

DOWNLOAD NOTEBOOK & DATA
Data and notebooks for my entire YouTube series can now be found here:
https://github.com/andymcdgeo/Andys_Y...

REFERENCES & LIBRARIES
Force 2020 Competition Github: Bormann P., Aursand P., Dilib F., Dischington P., Manral S. 2020. FORCE Machine Learning Competition. https://github.com/bolgebrygg/Force-2...

Competition Results: https://www.npd.no/en/force/Previous-...

Books I Recommend:
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