ML | Machine Learning | Clustering | Lecture 09 | SLIIT

Welcome to Lecture 09 of Machine Learning (ML). In this lecture, we explore Clustering, one of the most important techniques in unsupervised learning used to group similar data points together.

You will learn how clustering works and why it is useful for discovering hidden patterns in datasets. The lecture covers key clustering concepts and introduces popular algorithms such as K-Means Clustering and hierarchical clustering. We also discuss how clustering is applied in areas like customer segmentation, recommendation systems, image processing, and anomaly detection.

Understanding clustering is essential for data analysis, pattern recognition, and many real-world machine learning applications.

This lecture is ideal for IT students, beginners, and anyone interested in unsupervised learning and data science techniques.

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