A Kernel for Multi-Parameter Persistent Homology

26 Sep 2018René CorbetUlderico FugacciMichael KerberClaudia LandiBei Wang

Topological data analysis and its main method, persistent homology, provide a toolkit for computing topological information of high-dimensional and noisy data sets. Kernels for one-parameter persistent homology have been established to connect persistent homology with machine learning techniques... (read more)

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