Overview
Learn about multidimensional scaling (MDS) and linear discriminant analysis (LDA) in this comprehensive lecture from the Spring 2023 Data Mining course. Explore the fundamental concepts and motivations behind MDS, including detailed explanations and clarifications of its implementation. Delve into LDA's principles and applications, understanding its role in dimensionality reduction and classification problems. Conclude with an introduction to distance metric learning, connecting these dimensional reduction techniques in a practical context. The lecture systematically progresses through each topic, providing thorough coverage of these essential data mining techniques for dimensionality reduction and data visualization.
Syllabus
Recording starts
Lecture starts
MDS motivation
MDS outline
MDS clarification
LDA motivation
LDA outline
Distance metric learning motivation
Lecture ends
Taught by
UofU Data Science