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Found 2 papers, 1 papers with code
Metrics for Learning in Topological Persistence
Persistent homology analysis provides means to capture the connectivity structure of data sets in various dimensions.
A topological data analysis based classification method for multiple measurements
Using data from 100 examples of each of 6 point processes, the classifier achieved 96. 8% accuracy.
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