Introduction to Clustering | | Data Science in Minutes

We will look at the fundamental concept of clustering, different types of clustering methods, and their weaknesses. Clustering is an unsupervised learning technique that consists of grouping data points and creating partitions based on similarity. The ultimate goal is to find groups of similar objects.

You will learn:

- What is clustering?
- Types of clustering methods:
- Centroid-based clustering
- Connectivity-based clustering
- Distribution-based clustering
- Density-based clustering
- Clustering weaknesses

Table of Contents:
0:00 Introduction
0:40 What is Clustering
1:27 Centroid-based clustering
2:07 Connectivity-based clustering
2:55 Distribution-based clustering
3:33 Density-based clustering


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