From dd56587db3c4f63719cacd4f6dd34412d4115719 Mon Sep 17 00:00:00 2001
From: pdlotko <pdlotko@636b058d-ea47-450e-bf9e-a15bfbe3eedb>
Date: Mon, 27 Mar 2017 19:48:49 +0000
Subject: adding persistence_representations subfolder (at the moment with all
 the junk).

git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@2256 636b058d-ea47-450e-bf9e-a15bfbe3eedb

Former-commit-id: fdf52ca688d992655ff139f42e316d5b7b3f8a12
---
 .../one_d_gaussians_kernel.h                       | 82 ++++++++++++++++++++++
 1 file changed, 82 insertions(+)
 create mode 100644 src/Gudhi_stat/include/gudhi/persistence_representations/one_d_gaussians_kernel.h

(limited to 'src/Gudhi_stat/include/gudhi/persistence_representations/one_d_gaussians_kernel.h')

diff --git a/src/Gudhi_stat/include/gudhi/persistence_representations/one_d_gaussians_kernel.h b/src/Gudhi_stat/include/gudhi/persistence_representations/one_d_gaussians_kernel.h
new file mode 100644
index 00000000..671e7ad1
--- /dev/null
+++ b/src/Gudhi_stat/include/gudhi/persistence_representations/one_d_gaussians_kernel.h
@@ -0,0 +1,82 @@
+#pragma once
+
+#include <string>
+
+#include "kernel.h"
+#include "one_d_gaussians.h"
+
+
+template <typename T>
+class one_d_gaussians_kernel : public Persistence_kernel<T>
+{
+public:
+    one_d_gaussians_kernel( std::vector< Persistence_intervals<T> >&  intervals_ , size_t number_of_points , double min_ = -1 , double max_ = -1 , size_t range = -1 );
+    one_d_gaussians_kernel( char* filename , size_t number_of_points , double min_ = -1 , double max_ = -1 , size_t range = -1 );
+
+    double compute_scalar_product( size_t number_of_first_barcode , size_t number_of_second_barcode );
+private:
+    std::vector< one_d_gaussians<T> > gaussians;
+    void construct( std::vector< Persistence_intervals<T> >&  intervals , size_t number_of_points , double min_ = -1 , double max_ = -1 , size_t range = -1 );
+};
+
+
+template <typename T>
+void one_d_gaussians_kernel<T>::construct( std::vector< Persistence_intervals<T> >&  intervals_ , size_t number_of_points , double min_ , double max_ , size_t range )
+{
+    for ( size_t nr = 0 ; nr != intervals_.size() ; ++nr )
+    {
+        std::vector< Persistence_intervals<T> > aa;
+        aa.push_back( intervals_[nr] );
+        cerr << "intervals_[nr].size() : " << intervals_[nr].size() << endl;
+        cerr << "A \n";
+        this->gaussians.push_back( one_d_gaussians<T>( aa , number_of_points , min_ , max_ , range ) );
+        cerr << "B \n";
+    }
+}
+
+template <typename T>
+one_d_gaussians_kernel<T>::one_d_gaussians_kernel( std::vector< Persistence_intervals<T> >& intervals , size_t number_of_points , double min_ , double max_ , size_t range ):Persistence_kernel<T>(intervals.size())
+{
+    this->construct( intervals , number_of_points , min_ , max_ , range );
+}
+
+template <typename T>
+one_d_gaussians_kernel<T>::one_d_gaussians_kernel( char* filename , size_t number_of_points , double min_ , double max_ , size_t range )
+{
+    std::vector<std::string> names = readFileNames( filename );
+    std::vector< Persistence_intervals<double> > intervals;
+    for ( size_t file_no = 0 ; file_no != names.size() ; ++file_no )
+    {
+        cout << "Reading file : " << names[file_no] << endl;
+        Persistence_intervals<double> interval( (char*)names[file_no].c_str() );
+        intervals.push_back( interval );
+    }
+
+    //in this case, if  min_ and max_ are not specified by the user, we should compute it, so that they are the same for all the considered cases:
+    if ( min_ == max_ == -1 )
+    {
+        min_ = INT_MAX;
+        max_ = INT_MIN;
+        //in this case, the values of min_ and max_ are not specified by the user, and we should specify them here.
+        for ( size_t diagNo = 0 ; diagNo != intervals.size() ; ++diagNo )
+        {
+            std::pair<T,T> mM = intervals[diagNo].min_max();
+            if ( min_ > mM.first )min_ = mM.first;
+            if ( max_ < mM.second )max_ = mM.second;
+        }
+    }
+    this->construct( intervals , number_of_points , min_ , max_ , range );
+    this->number_of_intervals = names.size();
+}
+
+template <typename T>
+double one_d_gaussians_kernel<T>::compute_scalar_product( size_t number_of_first_barcode , size_t number_of_second_barcode )
+{
+    double result = 0;
+    for ( size_t i = 0 ; i != this->gaussians[number_of_first_barcode].size() ; ++i )
+    {
+        result += this->gaussians[number_of_first_barcode][i] * this->gaussians[number_of_second_barcode][i];
+    }
+    //cerr << "Scalar product : " << result << endl; getchar();
+    return result;
+}
-- 
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