How K-Means Clustering REALLY Works (Visual Explanation)
In this video i have explained the working of the Kmeans Clustering Algorithm, which is an unsupervised Machine Learning Algorithm and is widely used for Clustering purposes. First i have briefly exampled what a cluster is followed by a visual running of the Algorithm then the Mathematics of it including the cost function and then how to choose the number of clusters and finally How to initialize the centroids and how to deal with the problem of multiple possible Clusters.
chapters:-
0:00 What is a cluster?
0:33 Running Visuals of K-Means Algorithm
1:43 Mathematics and the cost function
3:41 Choosing K
5:32 Initializing the centroids
Link for the animations:-https://github.com/ByteQuest0/Animati...
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📚 Welcome to the Channel!
If you're passionate about learning complex concepts in the simplest way possible, you're in the right place. I create visual explanations using animations to make topics more intuitive and engaging—especially in Algorithms, AI, machine learning, and beyond.
🎥 Animations created using Manim:
Manim is an open-source Python library for creating mathematical animations. Learn more or try it yourself:
🔗 https://www.manim.community
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GitHub:- https://github.com/ByteQuest0
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