Given a distribution ρ on persistence diagrams and observations (Formula presented.) we introduce an algorithm in this paper that estimates a Fréchet mean from the set of diagrams X1,...,Xn. If the underlying measure ρ is a combination of Dirac masses (Formula presented.) then we prove the algorithm converges to a local minimum and a law of large numbers result for a Fréchet mean computed by the algorithm given observations drawn iid from ρ. We illustrate the convergence of an empirical mean computed by the algorithm to a population mean by simulations from Gaussian random fields. © 2014 Springer Science+Business Media New York.
CITATION STYLE
Turner, K., Mileyko, Y., Mukherjee, S., & Harer, J. (2014). Fréchet Means for Distributions of Persistence Diagrams. Discrete and Computational Geometry, 52(1), 44–70. https://doi.org/10.1007/s00454-014-9604-7
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