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authormcarrier <mcarrier@636b058d-ea47-450e-bf9e-a15bfbe3eedb>2018-06-23 04:59:39 +0000
committermcarrier <mcarrier@636b058d-ea47-450e-bf9e-a15bfbe3eedb>2018-06-23 04:59:39 +0000
commit0741c3eabbfece1c73ac76aa44adbe2904b6124d (patch)
tree83fc9edee2be2c5b1fc73d9d3cc1ddc4a66c828b /src/Persistence_representations/example
parent10c6f6be72a2631cd1a1d28ed61343d55bd2b759 (diff)
git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/kernels@3628 636b058d-ea47-450e-bf9e-a15bfbe3eedb
Former-commit-id: 12f32a1c8ca31e7e0a40e1c3502e2a3d810d5bc5
Diffstat (limited to 'src/Persistence_representations/example')
-rw-r--r--src/Persistence_representations/example/CMakeLists.txt20
-rw-r--r--src/Persistence_representations/example/betti_sequence.cpp49
-rw-r--r--src/Persistence_representations/example/persistence_heat_maps.cpp12
-rw-r--r--src/Persistence_representations/example/persistence_heat_maps_exact.cpp55
-rw-r--r--src/Persistence_representations/example/persistence_landscape_on_grid_exact.cpp52
-rw-r--r--src/Persistence_representations/example/persistence_weighted_gaussian.cpp99
6 files changed, 12 insertions, 275 deletions
diff --git a/src/Persistence_representations/example/CMakeLists.txt b/src/Persistence_representations/example/CMakeLists.txt
index 9be22085..d236c3a6 100644
--- a/src/Persistence_representations/example/CMakeLists.txt
+++ b/src/Persistence_representations/example/CMakeLists.txt
@@ -31,23 +31,3 @@ add_executable ( Sliced_Wasserstein sliced_wasserstein.cpp )
add_test(NAME Sliced_Wasserstein
COMMAND $<TARGET_FILE:Sliced_Wasserstein>)
install(TARGETS Sliced_Wasserstein DESTINATION bin)
-
-add_executable ( Persistence_weighted_gaussian persistence_weighted_gaussian.cpp )
-add_test(NAME Persistence_weighted_gaussian
- COMMAND $<TARGET_FILE:Persistence_weighted_gaussian>)
-install(TARGETS Persistence_weighted_gaussian DESTINATION bin)
-
-add_executable ( Persistence_heat_maps_exact persistence_heat_maps_exact.cpp )
-add_test(NAME Persistence_heat_maps_exact
- COMMAND $<TARGET_FILE:Persistence_heat_maps_exact>)
-install(TARGETS Persistence_heat_maps_exact DESTINATION bin)
-
-add_executable ( Persistence_landscape_on_grid_exact persistence_landscape_on_grid_exact.cpp )
-add_test(NAME Persistence_landscape_on_grid_exact
- COMMAND $<TARGET_FILE:Persistence_landscape_on_grid_exact>)
-install(TARGETS Persistence_landscape_on_grid_exact DESTINATION bin)
-
-add_executable ( Betti_sequence betti_sequence.cpp )
-add_test(NAME Betti_sequence
- COMMAND $<TARGET_FILE:Betti_sequence>)
-install(TARGETS Betti_sequence DESTINATION bin)
diff --git a/src/Persistence_representations/example/betti_sequence.cpp b/src/Persistence_representations/example/betti_sequence.cpp
deleted file mode 100644
index a422a822..00000000
--- a/src/Persistence_representations/example/betti_sequence.cpp
+++ /dev/null
@@ -1,49 +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/Betti_sequence.h>
-
-#include <iostream>
-#include <vector>
-#include <utility>
-
-using Persistence_diagram = Gudhi::Persistence_representations::Persistence_diagram;
-using BS = Gudhi::Persistence_representations::Betti_sequence;
-
-int main(int argc, char** argv) {
-
- Persistence_diagram persistence;
-
- persistence.push_back(std::make_pair(1, 2));
- persistence.push_back(std::make_pair(6, 8));
- persistence.push_back(std::make_pair(0, 4));
- persistence.push_back(std::make_pair(3, 8));
-
- double min_x = 0; double max_x = 8; int res_x = 1000;
-
- BS bs(persistence, min_x, max_x, res_x);
- std::vector<int> B = bs.vectorize();
-
- for(int i = 0; i < res_x; i++) std::cout << B[i] << ", ";
-
- return 0;
-}
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/persistence_heat_maps_exact.cpp b/src/Persistence_representations/example/persistence_heat_maps_exact.cpp
deleted file mode 100644
index f15b710d..00000000
--- a/src/Persistence_representations/example/persistence_heat_maps_exact.cpp
+++ /dev/null
@@ -1,55 +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_heat_maps_exact.h>
-#include <gudhi/Weight_functions.h>
-
-#include <iostream>
-#include <vector>
-#include <utility>
-#include <string>
-
-using Persistence_diagram = Gudhi::Persistence_representations::Persistence_diagram;
-using PI = Gudhi::Persistence_representations::Persistence_heat_maps_exact;
-using Weight = std::function<double (std::pair<double,double>) >;
-
-int main(int argc, char** argv) {
-
- Persistence_diagram persistence;
-
- persistence.push_back(std::make_pair(1, 2));
- persistence.push_back(std::make_pair(6, 8));
- persistence.push_back(std::make_pair(0, 4));
- persistence.push_back(std::make_pair(3, 8));
-
- double min_x = 0.0; double max_x = 10.0; int res_x = 100; double min_y = 0.0; double max_y = 10.0; int res_y = 100; double sigma = 1.0; Weight weight = Gudhi::Persistence_representations::linear_weight;
-
- PI pim(persistence, min_x, max_x, res_x, min_y, max_y, res_y, weight, sigma);
- std::vector<std::vector<double> > P = pim.vectorize();
-
- for(int i = 0; i < res_y; i++){
- for(int j = 0; j < res_x; j++) std::cout << P[i][j] << " ";
- std::cout << std::endl;
- }
-
- return 0;
-}
diff --git a/src/Persistence_representations/example/persistence_landscape_on_grid_exact.cpp b/src/Persistence_representations/example/persistence_landscape_on_grid_exact.cpp
deleted file mode 100644
index 9ce42649..00000000
--- a/src/Persistence_representations/example/persistence_landscape_on_grid_exact.cpp
+++ /dev/null
@@ -1,52 +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_landscape_on_grid_exact.h>
-
-#include <iostream>
-#include <vector>
-#include <utility>
-
-using Persistence_diagram = Gudhi::Persistence_representations::Persistence_diagram;
-using LS = Gudhi::Persistence_representations::Persistence_landscape_on_grid_exact;
-
-int main(int argc, char** argv) {
-
- Persistence_diagram persistence;
-
- persistence.push_back(std::make_pair(1, 2));
- persistence.push_back(std::make_pair(6, 8));
- persistence.push_back(std::make_pair(0, 4));
- persistence.push_back(std::make_pair(3, 8));
-
- int nb_ls = 2; double min_x = 0; double max_x = 8; int res_x = 1000;
-
- LS ls(persistence, nb_ls, min_x, max_x, res_x);
- std::vector<std::vector<double> > L = ls.vectorize();
-
- for(int i = 0; i < nb_ls; i++){
- for(int j = 0; j < res_x; j++) std::cout << L[i][j] << ", ";
- std::cout << std::endl;
- }
-
- return 0;
-}
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;
-}