- machine learning
Introduction to clustering
We will look at the fundamental concept of clustering, different types of clustering methods, and the 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.
What you’ll learn
- What is clustering?
- Clustering weaknesses
- Types of clustering methods: Centroid-based clustering, Connectivity-based clustering, Distribution-based clustering, and Density-based clustering