2024/2025

Научно-исследовательский семинар "Топологическая обработка данных"

Статус: Дисциплина общефакультетского пула

Кто читает: Факультет математики

Где читается: Факультет математики

Когда читается: 3, 4 модуль

Охват аудитории: для всех кампусов НИУ ВШЭ

Преподаватели: Горбунов Василий Геннадьевич

Язык: английский

Кредиты: 6

Course Syllabus

Abstract

Topological Data Analysis (TDA) is a field that lies at the intersection of data analysis, algebraictopology, computational geometry, computer science, statistics, and other related areas. The main goal of TDAis to use ideas and results from geometry and topology to develop tools for studying qualitative features ofdata. To achieve this goal, one needs precise definitions of qualitative features, tools to compute them inpractice, and some guaranteeabout the robustness of those features. One way to address all three points is amethod in TDA called persistent homology (PH). This method is appealing for applications because it is basedon algebraic topology, which gives a well-understood theoretical framework to study qualitative features ofdata with complex structure, is computable via linear algebra, and is robust with respect to small perturbationsin input data