2019
A Fast Method of Computing Persistent Homology of Time Series Data
ICASSP 2019accepted
This study proposes a method that speeds up computing persistent homology of time series data. Persistent homology is recently used for clutering time series data and detecting periodicity of them. The proposed method uses line segments to approximate a trajectory in delay-coordinate space. Cubic Bé…