ML06_ Clustering in Machine Learning: Principles, Methods, and Key Algorithms

This lecture provides a concise yet rigorous introduction to Clustering—one of the core unsupervised learning techniques in machine learning. Drawing from foundational principles and widely used algorithms, the session discusses clustering problems, methodological approaches, and practical applications across data science and AI. The lecture highlights essential clustering algorithms, with emphasis on K-means and Hierarchical Clustering, offering mathematical intuition, algorithmic steps, and real-world use cases. Designed for students and researchers aiming to strengthen their understanding of unsupervised learning within modern AI systems. 🔖 Hashtags #MachineLearning #Clustering #UnsupervisedLearning #KMeans #HierarchicalClustering #DataScience #AI #MLLecture #PatternRecognition #MLAlgorithms