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What real-world types of problems can Persistent Homology solve ?

• ColinWright 8y ago
  In private communications, some of the topologists I know have said that it might lead to new ways of working with machine learning. Most machine learning is to do with classification, and separation of collections in high-dimensional spaces. Persistent Homology talks about structures that emerge at different scales, and that includes aggregation and separation of collections. Early days.