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Diffstat (limited to 'src/Persistence_representations/example/persistence_weighted_gaussian.cpp')
-rw-r--r-- | src/Persistence_representations/example/persistence_weighted_gaussian.cpp | 99 |
1 files changed, 0 insertions, 99 deletions
diff --git a/src/Persistence_representations/example/persistence_weighted_gaussian.cpp b/src/Persistence_representations/example/persistence_weighted_gaussian.cpp deleted file mode 100644 index 7945e4f1..00000000 --- a/src/Persistence_representations/example/persistence_weighted_gaussian.cpp +++ /dev/null @@ -1,99 +0,0 @@ -/* 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/Persistence_weighted_gaussian.h> - -#include <iostream> -#include <vector> -#include <utility> - -using Persistence_diagram = Gudhi::Persistence_representations::Persistence_diagram; -using PWG = Gudhi::Persistence_representations::Persistence_weighted_gaussian; - -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)); - - double sigma = 1; - double tau = 1; - int m = 10000; - - PWG PWG1(persistence1, sigma, m, Gudhi::Persistence_representations::arctan_weight(1,1)); - PWG PWG2(persistence2, sigma, m, Gudhi::Persistence_representations::arctan_weight(1,1)); - - PWG PWGex1(persistence1, sigma, -1, Gudhi::Persistence_representations::arctan_weight(1,1)); - PWG PWGex2(persistence2, sigma, -1, Gudhi::Persistence_representations::arctan_weight(1,1)); - - - // Linear PWG - - std::cout << "Approx PWG kernel: " << PWG1.compute_scalar_product (PWG2) << std::endl; - std::cout << "Exact PWG kernel: " << PWGex1.compute_scalar_product (PWGex2) << std::endl; - - std::cout << "Distance induced by approx PWG kernel: " << PWG1.distance (PWG2) << std::endl; - std::cout << "Distance induced by exact PWG kernel: " << PWGex1.distance (PWGex2) << std::endl; - - - - - - - - // Gaussian PWG - - std::cout << "Approx Gaussian PWG kernel: " << std::exp( -PWG1.distance (PWG2) ) / (2*tau*tau) << std::endl; - std::cout << "Exact Gaussian PWG kernel: " << std::exp( -PWGex1.distance (PWGex2) ) / (2*tau*tau) << std::endl; - - - - - - - - // PSS - - Persistence_diagram pd1 = persistence1; int numpts = persistence1.size(); for(int i = 0; i < numpts; i++) pd1.emplace_back(persistence1[i].second,persistence1[i].first); - Persistence_diagram pd2 = persistence2; numpts = persistence2.size(); for(int i = 0; i < numpts; i++) pd2.emplace_back(persistence2[i].second,persistence2[i].first); - - PWG pwg1(pd1, 2*std::sqrt(sigma), m, Gudhi::Persistence_representations::pss_weight); - PWG pwg2(pd2, 2*std::sqrt(sigma), m, Gudhi::Persistence_representations::pss_weight); - - PWG pwgex1(pd1, 2*std::sqrt(sigma), -1, Gudhi::Persistence_representations::pss_weight); - PWG pwgex2(pd2, 2*std::sqrt(sigma), -1, Gudhi::Persistence_representations::pss_weight); - - std::cout << "Approx PSS kernel: " << pwg1.compute_scalar_product (pwg2) / (16*Gudhi::Persistence_representations::pi*sigma) << std::endl; - std::cout << "Exact PSS kernel: " << pwgex1.compute_scalar_product (pwgex2) / (16*Gudhi::Persistence_representations::pi*sigma) << std::endl; - - - - return 0; -} |