#include <fuzzy_c_means.h>
Data Fields | |
int | nb_class |
int | nb_it |
float | fuzzy_coeff |
float | threshold |
float | variation |
unsigned short ** | centre |
char | extension [200] |
char | init_type [50] |
Il contient toutes les informations utiles pour classifier des données grâce à la méthode du fuzzy C-mean.
Definition at line 43 of file fuzzy_c_means.h.
nombre de classes à déterminer
Definition at line 44 of file fuzzy_c_means.h.
Referenced by calcul_centroides(), calcul_coeff_appartenance(), fuzzy_c_means_calc(), fuzzy_c_means_init(), fuzzy_c_means_lect(), and init_coeff_appartenance().
nombre maximal d'iterations
Definition at line 45 of file fuzzy_c_means.h.
Referenced by fuzzy_c_means_calc(), and fuzzy_c_means_lect().
indice de flou (>1)
Definition at line 46 of file fuzzy_c_means.h.
Referenced by calcul_centroides(), calcul_coeff_appartenance(), and fuzzy_c_means_lect().
le seuil d'arret
Definition at line 47 of file fuzzy_c_means.h.
Referenced by fuzzy_c_means_calc(), and fuzzy_c_means_lect().
variation apres chaque iteration
Definition at line 48 of file fuzzy_c_means.h.
Referenced by calcul_coeff_appartenance(), and fuzzy_c_means_calc().
unsigned short** fuzzy_c_means_t::centre |
centre[i][j] = le centroïde de la classe i dans le j-eme attribut
Definition at line 49 of file fuzzy_c_means.h.
Referenced by calcul_centroides(), calcul_coeff_appartenance(), fuzzy_c_means_init(), and init_coeff_appartenance().
char fuzzy_c_means_t::extension[200] |
format de fichiers qui contiendront les coefficients d'appartenance
Definition at line 51 of file fuzzy_c_means.h.
Referenced by fuzzy_c_means_lect().
char fuzzy_c_means_t::init_type[50] |
type d'initialisation [ 0 | 1 | nom_fichier ]
Definition at line 53 of file fuzzy_c_means.h.
Referenced by fuzzy_c_means_lect(), and init_coeff_appartenance().