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    Feature Extraction Using Topological Data Analysis for Machine Learning and Network Science Applications 

    Guo, Wei
    Many real-world data sets can be viewed as a noisy sampling of an unknown high-dimensional topological space. The emergence and development of topological data analysis (TDA) over the last fifteen years or so provides a suite of tools to understand and exploit the topological structure of the underlying space from a multi-scale ...

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    AuthorGuo, Wei (1)SubjectFeature extraction (1)
    Industrial engineering (1)
    Machine learning (1)
    Network science (1)
    Topological data analysis (1)... View More

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