L16: Nature of clusters produced by K-means | voronoi region & geometry

Welcome to Lecture 16 of the course "Machine Learning Techniques" by Prof. Arun Rajkumar. Full Course: https://study.iitm.ac.in/ds/course_pa... Video Overview This lecture delves into the nature of clusters produced by Lloyd’s (K-Means) algorithm. We explore the geometry of these clusters, revealing that they are Voronoi regions formed by the intersection of half-spaces. We also discuss the limitations of standard K-Means when dealing with non-convex clusters and briefly introduce the concept of Kernel K-Means as a potential solution. About IIT Madras' online Bachelor of Science programme IIT Madras offers four-year BS programmes that aim to provide quality education to all, irrespective of age, educational background, or location. The BS programme has multiple levels, which provide flexibility to students to exit at any of these levels. Depending on the courses completed and credits earned, the learner can receive a Foundation Certificate from IITM CODE (Centre for Outreach and Digital Education), Diploma(s) from IIT Madras, or BSc/BS Degrees from IIT Madras. For more details, Visit: https://www.iitm.ac.in/academics/stud... #KMeans #LloydsAlgorithm #Clustering #MachineLearning #VoronoiDiagram #HalfSpaces #KernelKMeans #DataScience #AlgorithmExplanation #ClusteringAnalysis #GeometricClustering #UnsupervisedLearning #PatternRecognition #AppliedML