On the Role of Group Equivariant Non-Expansive Operators in TDA
Offered By: Applied Algebraic Topology Network via YouTube
Course Description
Overview
Explore the theory and applications of group equivariant non-expansive operators (GENEOs) in Topological Data Analysis through this 48-minute lecture. Delve into the mathematical foundations of GENEOs as tools for approximating data observers when data is represented by real-valued or vector-valued functions. Examine the assumption that data interpretation depends on the geometric properties of observers and discover how GENEOs can be effectively utilized in the field of Topological Data Analysis. Learn about recent developments and key results in GENEO theory, gaining insights into their potential for advancing data analysis techniques.
Syllabus
Patrizio Frosini (8/30/21): On the role of group equivariant non-expansive operators in TDA
Taught by
Applied Algebraic Topology Network
Related Courses
Social Network AnalysisUniversity of Michigan via Coursera Intro to Algorithms
Udacity Data Analysis
Johns Hopkins University via Coursera Computing for Data Analysis
Johns Hopkins University via Coursera Health in Numbers: Quantitative Methods in Clinical & Public Health Research
Harvard University via edX