Explore the fundamental concepts of clustering in data analysis through a comprehensive 1.5-hour lecture series. Discover how to identify and analyze structural patterns in datasets, focusing on the concentration of data points in specific regions. Learn various clustering algorithms designed to uncover these concentration areas, gaining valuable insights into data organization and structure. Dive deep into the subject matter across four in-depth segments, progressively building your understanding of clustering techniques and their applications in data science and machine learning.
Overview
Syllabus
Cl 1 - Clustering (8 min).
Cl 2 - Clustering (14 min).
Cl 3 - Clustering (32 min).
Cl 4 - Clustering (19 min).
Taught by
Prof. Laurenz Wiskott
