Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/40943
Title: Topological data analysis : an overview
Authors: Bednar, Amy E.
Keywords: Topology--Electronic data processing
Big data
Machine learning
High performance computing
Publisher: Information Technology Laboratory (U.S.)
Engineer Research and Development Center (U.S.)
Series/Report no.: Special Report (Engineer Research and Development Center (U.S.)) ; no. ERDC/ITL SR-21-5
Abstract: A growing area of mathematics topological data analysis (TDA) uses fundamental concepts of topology to analyze complex, high-dimensional data. A topological network represents the data, and the TDA uses the network to analyze the shape of the data and identify features in the network that correspond to patterns in the data. These patterns extract knowledge from the data. TDA provides a framework to advance machine learning’s ability to understand and analyze large, complex data. This paper provides background information about TDA, TDA applications for large data sets, and details related to the investigation and implementation of existing tools and environments.
Description: Special Report
Gov't Doc #: ERDC/ITL SR-21-5
Rights: Approved for Public Release; Distribution is Unlimited
URI: https://hdl.handle.net/11681/40943
http://dx.doi.org/10.21079/11681/40943
Appears in Collections:Special Report

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