Lecture
Unsupervised Learning: Clustering Methods
Description
This lecture covers unsupervised learning focusing on clustering methods. It explains the clustering problem, types of features, and characteristics of clustering methods. The lecture delves into examples, use cases for clustering, and the challenges faced in clustering algorithms like K-means and DBSCAN.
Official source
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.