Date of Completion
12-2-2019
Embargo Period
12-2-2019
Keywords
Topological data analysis, time series, clustering, classification
Major Advisor
Nalini Ravishanker
Associate Advisor
Zhiyi Chi
Associate Advisor
Haim Bar
Field of Study
Statistics
Degree
Doctor of Philosophy
Open Access
Open Access
Abstract
Topological Data Analysis (TDA), which refers to methods of utilizing topological
features in data (such as connected components, tunnels, voids, etc.) has gained considerable
momentum. More recently, TDA has been increasingly used for analyzing time
series. The recent researches of using TDA in time series are mainly focused on unsupervised
and supervised learning. In this thesis, a review of TDA will be provided,
following by using TDA in time series for doing unsupervised and supervised learning
for different applications.
Recommended Citation
Chen, Renjie, "Topological Data Analysis for Clustering and Classifying Time Series" (2019). Doctoral Dissertations. 2365.
https://digitalcommons.lib.uconn.edu/dissertations/2365