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-rw-r--r--src/Rips_complex/doc/Intro_rips_complex.h23
-rw-r--r--src/Rips_complex/example/CMakeLists.txt7
-rw-r--r--src/Rips_complex/example/example_one_skeleton_rips_from_correlation_matrix.cpp83
-rw-r--r--src/Rips_complex/example/one_skeleton_rips_from_correlation_matrix_for_doc.txt17
4 files changed, 130 insertions, 0 deletions
diff --git a/src/Rips_complex/doc/Intro_rips_complex.h b/src/Rips_complex/doc/Intro_rips_complex.h
index 8c517516..0c1acba7 100644
--- a/src/Rips_complex/doc/Intro_rips_complex.h
+++ b/src/Rips_complex/doc/Intro_rips_complex.h
@@ -146,6 +146,29 @@ namespace rips_complex {
*
* \include Rips_complex/full_skeleton_rips_for_doc.txt
*
+ *
+ * \section ripscorrelationematrix Correlation matrix
+ *
+ * Analogously to the case of distance matrix, Rips complexes can be also constructed based on correlation matrix.
+ * Given a correlation matrix M, comportment-wise 1-M is a distance matrix.
+ * This example builds the one skeleton graph from the given corelation matrix and threshold value.
+ * Then it creates a `Simplex_tree` with it.
+ *
+ * Then, it is asked to display information about the simplicial complex.
+ *
+ * \include Rips_complex/example_one_skeleton_rips_from_correlation_matrix.cpp
+ *
+ * When launching:
+ *
+ * \code $> ./example_one_skeleton_from_correlation_matrix
+ * \endcode
+ *
+ * the program output is:
+ *
+ * \include Rips_complex/one_skeleton_rips_from_correlation_matrix_for_doc.txt
+ *
+ * All the other constructions discussed for Rips complex for distance matrix can be also performed for Rips complexes construction from correlation matrices.
+ *
*/
/** @} */ // end defgroup rips_complex
diff --git a/src/Rips_complex/example/CMakeLists.txt b/src/Rips_complex/example/CMakeLists.txt
index 2940f164..fcb1eaee 100644
--- a/src/Rips_complex/example/CMakeLists.txt
+++ b/src/Rips_complex/example/CMakeLists.txt
@@ -11,17 +11,23 @@ add_executable ( Rips_complex_example_one_skeleton_from_distance_matrix example_
add_executable ( Rips_complex_example_from_csv_distance_matrix example_rips_complex_from_csv_distance_matrix_file.cpp )
+# Correlation matrix
+add_executable ( Rips_complex_example_one_skeleton_rips_from_correlation_matrix example_one_skeleton_rips_from_correlation_matrix.cpp )
+
if (TBB_FOUND)
target_link_libraries(Rips_complex_example_from_off ${TBB_LIBRARIES})
target_link_libraries(Rips_complex_example_one_skeleton_from_points ${TBB_LIBRARIES})
target_link_libraries(Rips_complex_example_one_skeleton_from_distance_matrix ${TBB_LIBRARIES})
target_link_libraries(Rips_complex_example_from_csv_distance_matrix ${TBB_LIBRARIES})
+ target_link_libraries(Rips_complex_example_one_skeleton_rips_from_correlation_matrix ${TBB_LIBRARIES})
endif()
add_test(NAME Rips_complex_example_one_skeleton_from_points
COMMAND $<TARGET_FILE:Rips_complex_example_one_skeleton_from_points>)
add_test(NAME Rips_complex_example_one_skeleton_from_distance_matrix
COMMAND $<TARGET_FILE:Rips_complex_example_one_skeleton_from_distance_matrix>)
+add_test(NAME Rips_complex_example_one_skeleton_rips_from_correlation_matrix
+ COMMAND $<TARGET_FILE:Rips_complex_example_one_skeleton_rips_from_correlation_matrix>)
add_test(NAME Rips_complex_example_from_off_doc_12_1 COMMAND $<TARGET_FILE:Rips_complex_example_from_off>
"${CMAKE_SOURCE_DIR}/data/points/alphacomplexdoc.off" "12.0" "1" "${CMAKE_CURRENT_BINARY_DIR}/ripsoffreader_result_12_1.txt")
@@ -57,3 +63,4 @@ install(TARGETS Rips_complex_example_from_off DESTINATION bin)
install(TARGETS Rips_complex_example_one_skeleton_from_points DESTINATION bin)
install(TARGETS Rips_complex_example_one_skeleton_from_distance_matrix DESTINATION bin)
install(TARGETS Rips_complex_example_from_csv_distance_matrix DESTINATION bin)
+install(TARGETS Rips_complex_example_one_skeleton_rips_from_correlation_matrix DESTINATION bin)
diff --git a/src/Rips_complex/example/example_one_skeleton_rips_from_correlation_matrix.cpp b/src/Rips_complex/example/example_one_skeleton_rips_from_correlation_matrix.cpp
new file mode 100644
index 00000000..d1ccbf31
--- /dev/null
+++ b/src/Rips_complex/example/example_one_skeleton_rips_from_correlation_matrix.cpp
@@ -0,0 +1,83 @@
+#include <gudhi/Rips_complex.h>
+#include <gudhi/Simplex_tree.h>
+#include <gudhi/distance_functions.h>
+
+#include <iostream>
+#include <string>
+#include <vector>
+#include <limits> // for std::numeric_limits
+
+int main() {
+ // Type definitions
+ using Simplex_tree = Gudhi::Simplex_tree<>;
+ using Filtration_value = Simplex_tree::Filtration_value;
+ using Rips_complex = Gudhi::rips_complex::Rips_complex<Filtration_value>;
+ using Distance_matrix = std::vector<std::vector<Filtration_value>>;
+
+ // User defined correlation matrix is:
+ // |1 0.06 0.23 0.01 0.89|
+ // |0.06 1 0.74 0.01 0.61|
+ // |0.23 0.74 1 0.72 0.03|
+ // |0.01 0.01 0.72 1 0.7 |
+ // |0.89 0.61 0.03 0.7 1 |
+
+ Distance_matrix correlations;
+ correlations.push_back({});
+ correlations.push_back({0.06});
+ correlations.push_back({0.23, 0.74});
+ correlations.push_back({0.01, 0.01, 0.72});
+ correlations.push_back({0.89, 0.61, 0.03, 0.7});
+
+ // ----------------------------------------------------------------------------
+ // Convert correlation matrix to a distance matrix:
+ // ----------------------------------------------------------------------------
+ for (size_t i = 0; i != correlations.size(); ++i) {
+ for (size_t j = 0; j != correlations[i].size(); ++j) {
+ correlations[i][j] = 1 - correlations[i][j];
+ if (correlations[i][j] < 0) {
+ std::cerr << "The input matrix is not a correlation matrix. \n";
+ throw "The input matrix is not a correlation matrix. \n";
+ }
+ }
+ }
+
+ //-----------------------------------------------------------------------------
+ // Now the correlation matrix is a distance matrix and can be processed further.
+ //-----------------------------------------------------------------------------
+ Distance_matrix distances = correlations;
+
+ //------------------------------------------------------------------------------
+ //Note that this treshold mean that the points in the distance 1, i.e. corelation
+ //0 will be connected.
+ //------------------------------------------------------------------------------
+ double threshold = 1.0;
+
+
+ Rips_complex rips_complex_from_points(distances, threshold);
+
+ Simplex_tree stree;
+ rips_complex_from_points.create_complex(stree, 1);
+ // ----------------------------------------------------------------------------
+ // Display information about the one skeleton Rips complex. Note that
+ // the filtration displayed here comes from the distance matrix computed
+ // above, which is 1 - initial correlation matrix. Only this way, we obtain
+ // a complex with filtration. If a correlation matrix is used instead, we would
+ // have a reverse filtration (i.e. filtration of boundary of each simplex S
+ // is greater or equal to the filtration of S).
+ // ----------------------------------------------------------------------------
+ std::cout << "Rips complex is of dimension " << stree.dimension() << " - " << stree.num_simplices() << " simplices - "
+ << stree.num_vertices() << " vertices." << std::endl;
+
+ std::cout << "Iterator on Rips complex simplices in the filtration order, with [filtration value]:" << std::endl;
+ for (auto f_simplex : stree.filtration_simplex_range()) {
+ std::cout << " ( ";
+ for (auto vertex : stree.simplex_vertex_range(f_simplex)) {
+ std::cout << vertex << " ";
+ }
+ std::cout << ") -> "
+ << "[" << stree.filtration(f_simplex) << "] ";
+ std::cout << std::endl;
+ }
+
+ return 0;
+}
diff --git a/src/Rips_complex/example/one_skeleton_rips_from_correlation_matrix_for_doc.txt b/src/Rips_complex/example/one_skeleton_rips_from_correlation_matrix_for_doc.txt
new file mode 100644
index 00000000..640d7083
--- /dev/null
+++ b/src/Rips_complex/example/one_skeleton_rips_from_correlation_matrix_for_doc.txt
@@ -0,0 +1,17 @@
+Rips complex is of dimension 1 - 15 simplices - 5 vertices.
+Iterator on Rips complex simplices in the filtration order, with [filtration value]:
+ ( 0 ) -> [0]
+ ( 1 ) -> [0]
+ ( 2 ) -> [0]
+ ( 3 ) -> [0]
+ ( 4 ) -> [0]
+ ( 4 0 ) -> [0.11]
+ ( 2 1 ) -> [0.26]
+ ( 3 2 ) -> [0.28]
+ ( 4 3 ) -> [0.3]
+ ( 4 1 ) -> [0.39]
+ ( 2 0 ) -> [0.77]
+ ( 1 0 ) -> [0.94]
+ ( 4 2 ) -> [0.97]
+ ( 3 0 ) -> [0.99]
+ ( 3 1 ) -> [0.99]