Title: Large-scale data visualization and interpretation
Time: 11:00
Location: Meeting room
Type: Research Result
Speaker: Matthias Sholz
Abstract:
In my talk I will give an overview about methods for analysing
high-dimensional data sets. This includes Independent Component
Analysis (ICA) as an alternative to classical Principal Component
Analysis (PCA). I will talk about time course analysis and how to
analyse and visualize nonlinear data structures by using Nonlinear
PCA. And I will give some ideas about the modern area of Network
Science. Examples are shown from biomedical applications.