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author | vrouvrea <vrouvrea@636b058d-ea47-450e-bf9e-a15bfbe3eedb> | 2017-05-30 15:52:00 +0000 |
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committer | vrouvrea <vrouvrea@636b058d-ea47-450e-bf9e-a15bfbe3eedb> | 2017-05-30 15:52:00 +0000 |
commit | 9d1a526de85694b5f075bb88dbd7097a40abf10a (patch) | |
tree | bbcd0cef32610d2f5e9c0209b48c58f73fbf379a /src/Persistence_representations/example/persistence_heat_maps.cpp | |
parent | 2bcb3d7cb47ce71803f2464cc822346ed2e1b039 (diff) |
clang format all sources
git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/persistence_representation_integration@2477 636b058d-ea47-450e-bf9e-a15bfbe3eedb
Former-commit-id: 326d664483d6700f82be824f79a0bf5c082b4945
Diffstat (limited to 'src/Persistence_representations/example/persistence_heat_maps.cpp')
-rw-r--r-- | src/Persistence_representations/example/persistence_heat_maps.cpp | 99 |
1 files changed, 44 insertions, 55 deletions
diff --git a/src/Persistence_representations/example/persistence_heat_maps.cpp b/src/Persistence_representations/example/persistence_heat_maps.cpp index c75e2731..44227823 100644 --- a/src/Persistence_representations/example/persistence_heat_maps.cpp +++ b/src/Persistence_representations/example/persistence_heat_maps.cpp @@ -20,74 +20,63 @@ * along with this program. If not, see <http://www.gnu.org/licenses/>. */ - - #include <gudhi/reader_utils.h> #include <gudhi/Persistence_heat_maps.h> #include <iostream> #include <vector> - - using namespace Gudhi; using namespace Gudhi::Persistence_representations; - double epsilon = 0.0000005; +int main(int argc, char** argv) { + // create two simple vectors with birth--death pairs: - -int main( int argc , char** argv ) -{ - //create two simple vectors with birth--death pairs: - - std::vector< std::pair< double , double > > persistence1; - std::vector< std::pair< double , double > > 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) ); - - //over here we define a function we sill put on a top on every birth--death pair in the persistence interval. It can be anything. Over here we will use standard Gaussian - std::vector< std::vector<double> > filter = create_Gaussian_filter(5,1); - - //creating two heat maps. - Persistence_heat_maps<constant_scaling_function> hm1( persistence1 , filter , false , 20 , 0 , 11 ); - Persistence_heat_maps<constant_scaling_function> hm2( persistence2 , filter , false , 20 , 0 , 11 ); - - std::vector<Persistence_heat_maps<constant_scaling_function>*> vector_of_maps; - vector_of_maps.push_back( &hm1 ); - vector_of_maps.push_back( &hm2 ); - - //compute median/mean of a vector of heat maps: - Persistence_heat_maps<constant_scaling_function> mean; - mean.compute_mean( vector_of_maps ); - Persistence_heat_maps<constant_scaling_function> median; - median.compute_median( vector_of_maps ); - - //to compute L^1 distance between hm1 and hm2: - std::cout << "The L^1 distance is : " << hm1.distance( hm2 , 1 ) << std::endl; - - //to average of hm1 and hm2: - std::vector< Persistence_heat_maps<constant_scaling_function>* > to_average; - to_average.push_back( &hm1 ); - to_average.push_back( &hm2 ); - Persistence_heat_maps<constant_scaling_function> av; - av.compute_average( to_average ); - - //to compute scalar product of hm1 and hm2: - std::cout << "Scalar product is : " << hm1.compute_scalar_product( hm2 ) << std::endl; - - return 0; -} + std::vector<std::pair<double, double> > persistence1; + std::vector<std::pair<double, double> > 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)); + // over here we define a function we sill put on a top on every birth--death pair in the persistence interval. It can + // be anything. Over here we will use standard Gaussian + std::vector<std::vector<double> > filter = create_Gaussian_filter(5, 1); + // creating two heat maps. + Persistence_heat_maps<constant_scaling_function> hm1(persistence1, filter, false, 20, 0, 11); + Persistence_heat_maps<constant_scaling_function> hm2(persistence2, filter, false, 20, 0, 11); + std::vector<Persistence_heat_maps<constant_scaling_function>*> vector_of_maps; + vector_of_maps.push_back(&hm1); + vector_of_maps.push_back(&hm2); + + // compute median/mean of a vector of heat maps: + Persistence_heat_maps<constant_scaling_function> mean; + mean.compute_mean(vector_of_maps); + Persistence_heat_maps<constant_scaling_function> median; + median.compute_median(vector_of_maps); + + // to compute L^1 distance between hm1 and hm2: + std::cout << "The L^1 distance is : " << hm1.distance(hm2, 1) << std::endl; + + // to average of hm1 and hm2: + std::vector<Persistence_heat_maps<constant_scaling_function>*> to_average; + to_average.push_back(&hm1); + to_average.push_back(&hm2); + Persistence_heat_maps<constant_scaling_function> av; + av.compute_average(to_average); + + // to compute scalar product of hm1 and hm2: + std::cout << "Scalar product is : " << hm1.compute_scalar_product(hm2) << std::endl; + + return 0; +} |