src/som.c File Reference

#include "som.h"
#include "distances.h"
#include "mathadd.h"
#include <gsl/gsl_rng.h>
#include <gsl/gsl_randist.h>

Go to the source code of this file.

Functions
void	som_free (Som *s)
double **	som_generate_connectivity_matrix (SOMConnectivityType type, double **m, int n)
Som *	som_init (int dimension, int n, int nruns, SOMConnectivityType connectivity_type)
void	som_initialize_random (Som *s, double min, double max)
void	som_initialize_random_samples (Som *s, double **X, int dim, int nsamples)
double	som_neighbourhood_gaussian (int x, int bmu, struct som_struct *s, int t)
void	som_print (FILE *f, Som *s)
double	som_time_decay_linear (int t, int nruns, int initial_runs)
void	som_train_from_data (Som *s, double **X, int dim, int nsamples)

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Function Documentation

void som_free

(

Som *

s

)

Definition at line 133 of file som.c.

double** som_generate_connectivity_matrix	(	SOMConnectivityType	type,
		double **	m,
		int	n
	)

generate a connectivity matrix of type type. The (i,j)th entry gives the distance between nodes i and j in number of nodes.

type:

• ONED_LINEAR:
• TWOD_GRID: n should be a square number and
• TWOD_HEXAGONAL:

Parameters:

	type
	m	if NULL or ALLOC_IN_FCT, allocate own memory.
	n	number of nodes

Definition at line 40 of file som.c.

Som* som_init	(	int	dimension,
		int	n,
		int	nruns,
		SOMConnectivityType	connectivity_type
	)

allocate the Som-struct

Definition at line 103 of file som.c.

void som_initialize_random	(	Som *	s,
		double	min,
		double	max
	)

initialize the codebook vectors with random values between min and max (uniformely drawn);

Definition at line 237 of file som.c.

void som_initialize_random_samples	(	Som *	s,
		double **	X,
		int	dim,
		int	nsamples
	)

initialize the codebook vectors with randomly drawn samples from the data X;

Parameters:

	s	the model
	X	data of dimension [dim, nsamples]

Definition at line 254 of file som.c.

double som_neighbourhood_gaussian	(	int	x,
		int	bmu,
		struct som_struct *	s,
		int	t
	)

Gaussian neighbourhood (std shrinks exponentially with t).

Definition at line 166 of file som.c.

void som_print	(	FILE *	f,
		Som *	s
	)

Definition at line 269 of file som.c.

double som_time_decay_linear	(	int	t,
		int	nruns,
		int	initial_runs
	)

Linear time-decay function between 0 and 1.

Definition at line 151 of file som.c.

void som_train_from_data	(	Som *	s,
		double **	X,
		int	dim,
		int	nsamples
	)

apply SOM-training rule

Definition at line 184 of file som.c.