Multi persistence and topological data analysis
Event details
| Date | 20.03.2015 |
| Hour | 14:15 › 15:15 |
| Speaker | Wojciech Chachólski |
| Location | |
| Category | Conferences - Seminars |
In this talk I will present a new method for extracting persistence information out of multi graded modules. This method is part of the so called topological data analysis (TDA for short) and builds on understanding mathematical properties of what one might regard as noise. Denoising can be then thought as the localization away from the noise. I will take this opportunity to summarise what TDA is and argue that it is an interesting mathematical subject. This is a report on joint work of the topological data analysis group at KTH that consists of Anders Lundman, Ryan Ramanujam, Martina Scolamiero, Sebastian Öberg and myself.
Practical information
- Informed public
- Free
Organizer
- Kathryn Hess Bellwald
Contact
- Kathryn Hess Bellwald