diff options
Diffstat (limited to 'src/Persistence_representations/example')
3 files changed, 77 insertions, 0 deletions
diff --git a/src/Persistence_representations/example/CMakeLists.txt b/src/Persistence_representations/example/CMakeLists.txt index 33558df3..a7c6ef39 100644 --- a/src/Persistence_representations/example/CMakeLists.txt +++ b/src/Persistence_representations/example/CMakeLists.txt @@ -26,3 +26,7 @@ add_test(NAME Persistence_representations_example_heat_maps COMMAND $<TARGET_FILE:Persistence_representations_example_heat_maps>) install(TARGETS Persistence_representations_example_heat_maps DESTINATION bin) +add_executable ( Sliced_Wasserstein sliced_wasserstein.cpp ) +add_test(NAME Sliced_Wasserstein + COMMAND $<TARGET_FILE:Sliced_Wasserstein>) +install(TARGETS Sliced_Wasserstein DESTINATION bin) diff --git a/src/Persistence_representations/example/persistence_heat_maps.cpp b/src/Persistence_representations/example/persistence_heat_maps.cpp index 323b57e9..f1791e97 100644 --- a/src/Persistence_representations/example/persistence_heat_maps.cpp +++ b/src/Persistence_representations/example/persistence_heat_maps.cpp @@ -21,6 +21,7 @@ */ #include <gudhi/Persistence_heat_maps.h> +#include <gudhi/common_persistence_representations.h> #include <iostream> #include <vector> @@ -76,5 +77,16 @@ int main(int argc, char** argv) { // to compute scalar product of hm1 and hm2: std::cout << "Scalar product is : " << hm1.compute_scalar_product(hm2) << std::endl; + Gudhi::Persistence_representations::Kernel k = Gudhi::Persistence_representations::Gaussian_kernel(1.0); + + Persistence_heat_maps hm1k(persistence1, k); + Persistence_heat_maps hm2k(persistence2, k); + + Persistence_heat_maps hm1i(persistence1, 20, 20, 0, 11, 0, 11, k); + Persistence_heat_maps hm2i(persistence2, 20, 20, 0, 11, 0, 11, k); + + std::cout << "Scalar product computed with exact kernel is : " << hm1i.compute_scalar_product(hm2i) << std::endl; + std::cout << "Kernel value between PDs seen as functions is : " << hm1k.compute_scalar_product(hm2k) << std::endl; + return 0; } diff --git a/src/Persistence_representations/example/sliced_wasserstein.cpp b/src/Persistence_representations/example/sliced_wasserstein.cpp new file mode 100644 index 00000000..2104e2b2 --- /dev/null +++ b/src/Persistence_representations/example/sliced_wasserstein.cpp @@ -0,0 +1,61 @@ +/* This file is part of the Gudhi Library. The Gudhi library + * (Geometric Understanding in Higher Dimensions) is a generic C++ + * library for computational topology. + * + * Author(s): Mathieu Carriere + * + * Copyright (C) 2018 INRIA (France) + * + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see <http://www.gnu.org/licenses/>. + */ + +#include <gudhi/Sliced_Wasserstein.h> + +#include <iostream> +#include <vector> +#include <utility> + +using Persistence_diagram = Gudhi::Persistence_representations::Persistence_diagram; +using SW = Gudhi::Persistence_representations::Sliced_Wasserstein; + +int main(int argc, char** argv) { + + Persistence_diagram persistence1, persistence2; + + persistence1.push_back(std::make_pair(1, 2)); + persistence1.push_back(std::make_pair(6, 8)); + persistence1.push_back(std::make_pair(0, 4)); + persistence1.push_back(std::make_pair(3, 8)); + + persistence2.push_back(std::make_pair(2, 9)); + persistence2.push_back(std::make_pair(1, 6)); + persistence2.push_back(std::make_pair(3, 5)); + persistence2.push_back(std::make_pair(6, 10)); + + + SW sw1(persistence1, 1, 100); + SW sw2(persistence2, 1, 100); + + SW swex1(persistence1, 1, -1); + SW swex2(persistence2, 1, -1); + + std::cout << "Approx SW distance: " << sw1.compute_sliced_wasserstein_distance(sw2) << std::endl; + std::cout << "Exact SW distance: " << swex1.compute_sliced_wasserstein_distance(swex2) << std::endl; + std::cout << "Approx SW kernel: " << sw1.compute_scalar_product(sw2) << std::endl; + std::cout << "Exact SW kernel: " << swex1.compute_scalar_product(swex2) << std::endl; + std::cout << "Distance induced by approx SW kernel: " << sw1.distance(sw2) << std::endl; + std::cout << "Distance induced by exact SW kernel: " << swex1.distance(swex2) << std::endl; + + return 0; +} |