Additional Inherited Members
Public Member Functions inherited from Gudhi::Persistence_representations::Persistence_heat_maps< constant_scaling_function >
	Persistence_heat_maps ()

	Persistence_heat_maps (const std::vector< std::pair< double, double > > &interval, std::vector< std::vector< double > > filter=create_Gaussian_filter(5, 1), bool erase_below_diagonal=false, size_t number_of_pixels=1000, double min_=std::numeric_limits< double >::max(), double max_=std::numeric_limits< double >::max())

	Persistence_heat_maps (const char *filename, std::vector< std::vector< double > > filter=create_Gaussian_filter(5, 1), bool erase_below_diagonal=false, size_t number_of_pixels=1000, double min_=std::numeric_limits< double >::max(), double max_=std::numeric_limits< double >::max(), unsigned dimension=std::numeric_limits< unsigned >::max())

	Persistence_heat_maps (const std::vector< std::pair< double, double > > &interval, const std::function< double(std::pair< double, double >, std::pair< double, double >)> &kernel, size_t number_of_x_pixels, size_t number_of_y_pixels, double min_x=0, double max_x=1, double min_y=0, double max_y=1)

	Persistence_heat_maps (const std::vector< std::pair< double, double > > &interval, const std::function< double(std::pair< double, double >, std::pair< double, double >)> &kernel)

void	compute_mean (const std::vector< Persistence_heat_maps * > &maps)

void	compute_median (const std::vector< Persistence_heat_maps * > &maps)

void	compute_percentage_of_active (const std::vector< Persistence_heat_maps * > &maps, size_t cutoff=1)

void	print_to_file (const char *filename) const

void	load_from_file (const char *filename)

bool	check_if_the_same (const Persistence_heat_maps &second) const

double	get_min () const

double	get_max () const

bool	operator== (const Persistence_heat_maps &rhs) const

bool	operator!= (const Persistence_heat_maps &rhs) const

void	plot (const char *filename) const

Persistence_heat_maps	multiply_by_scalar (double scalar) const

Persistence_heat_maps	operator* (double scalar)

Persistence_heat_maps	operator+= (const Persistence_heat_maps &rhs)

Persistence_heat_maps	operator-= (const Persistence_heat_maps &rhs)

Persistence_heat_maps	operator*= (double x)

Persistence_heat_maps	operator/= (double x)

std::vector< double >	vectorize (int number_of_function) const

size_t	number_of_vectorize_functions () const

double	project_to_R (int number_of_function) const

size_t	number_of_projections_to_R () const

double	distance (const Persistence_heat_maps &second_, double power=1) const

void	compute_average (const std::vector< Persistence_heat_maps * > &to_average)

double	compute_scalar_product (const Persistence_heat_maps &second_) const

std::pair< double, double >	get_x_range () const

std::pair< double, double >	get_y_range () const

Detailed Description

This is a version of a representation presented in https://arxiv.org/abs/1412.6821 In that paper the authors are using the representation just to compute kernel. Over here, we extend the usability by far. Note that the version presented here is not exact, since we are discretizing the kernel. The only difference with respect to the original class is the method of creation. We have full (square) image, and for every point (p,q), we add a kernel at (p,q) and the negative kernel at (q,p)

Examples: persistence_heat_maps/create_pssk.cpp.

The documentation for this class was generated from the following file:

include/gudhi/PSSK.h

Additional Inherited Members

Detailed Description