Work

Topological Data Analysis for Clustering and Classifying Time Series

Year: 2019

Type: dissertation

Abstract: Topological Data Analysis (TDA), which refers to methods of utilizing topological\nfeatures in data (such as connected components, tunnels, voids, etc.) has gained considerable\nmomentum. More recently, TDA has been increasingly used for analyzing time\nseries. The recent researches of using TDA in time series are mainly focused on unsupervised\nand supervised learning. In this thesis, a review of TDA will be provided,\nfollowing by using TDA in time series for doing unsupervised and supervised learning\nfor different applications.

Source: OpenCommons at University of Connecticut (University of Connecticut)

Author: Renjie Chen

Language: English

Topic: Topological and Geometric Data Analysis

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W3000526301

Cites: 35

Cited by: 1

Related to: 10