kernelTDA

This R-package provides an implementation of the most famous kernels found in the framework of Topological Data Analysis (TDA), more specifically:

• Persistence Scale Space Kernel
• Sliced Wasserstein Kernel
• Persistence Fisher Kernel
• Geodesic Wasserstein Kernel(s)
• Persistence Images

Here you can also find an R interface to the C++ library HERA, which contains an efficient implementation of the L_p q-Wasserstein distance between persistence diagrams.

Finally, this package contains a solver for kernelized Support Vector Machine problems with indefinite kernels, based on the algorithm proposed by Loosli et al.. The implementation is largely based on the C++ library LIBSVM, and on its R interface in the package e1071.

This package is now on CRAN, you can install it with:

install.packages("kernelTDA")