DBSCAN Clustering Algorithms | Density Based Clustering | How DBSCAN Works | CampusX
Channel: CampusX
Date: 17/12/2023

In today's video, we dive deep into the world of clustering with a focus on DBSCAN (Density-Based Spatial Clustering of Applications with Noise). Whether you're a data science enthusiast, a student, or a professional looking to enhance your machine learning skills, this video is for you!

🚀 Why DBSCAN?
DBSCAN is a powerful tool in your clustering toolkit, providing robust performance in identifying clusters of varying shapes and handling outliers effectively.

Code - https://colab.research.google.com/drive/1yZ0bg0cK6X84u6rawgRgoPzlgAmhVy2E?usp=sharing

Viz tool - https://www.naftaliharris.com/blog/visualizing-dbscan-clustering/

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⌚Time Stamps ⌚

00:00 - 00:31 - Intro
00:32 - 03:59 - Why DBSCAN?
04:00 - 06:28 - What is density based clustering?
06:29 - 08:41 - Epsilon Example
08:42 - 14:12 - 3 Types of points in DBSCAN
14:13 - 17:58 - Density connected points
17:59 - 25:20 - DBSCAN Algorithm
25:21 - 28:55 - DBSCAN Demo
28:56 - 32:40 - Limitations
32:41 - 34:00 - Visualization Tool
34:01 - 34:15 - Outro

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#DataScience #MachineLearning #Deeplearning #CampusX #DBSCAN #Clustering #AlgorithmExplained