rakha asyrofi / Mbed 2 deprecated KNN_coba

machine learning mbed

Dependencies:   mbed

funcionesKNN.h@0:b78c322e81d0, 2018-04-14 (annotated)

Committer:
asyrofi
Date:
Sat Apr 14 04:02:05 2018 +0000
Revision:
0:b78c322e81d0
semoga bisa

Who changed what in which revision?

UserRevisionLine numberNew contents of line
asyrofi 0:b78c322e81d0 1 /*----------------------------------------------------------------
asyrofi 0:b78c322e81d0 2 funciones para el computo del algoritmo KNN
asyrofi 0:b78c322e81d0 3 ----------------------------------------------------------------*/
asyrofi 0:b78c322e81d0 4 #define FI 100
asyrofi 0:b78c322e81d0 5 #define CO 4
asyrofi 0:b78c322e81d0 6
asyrofi 0:b78c322e81d0 7 /*----------------------------------------------------------------
asyrofi 0:b78c322e81d0 8 calculo de distancia euclidiana entre dos puntos
asyrofi 0:b78c322e81d0 9 -----------------------------------------------------------------*/
asyrofi 0:b78c322e81d0 10 double distanciaEuclidiana(double pt1[], double pt2[], int co);
asyrofi 0:b78c322e81d0 11
asyrofi 0:b78c322e81d0 12 /*----------------------------------------------------------------
asyrofi 0:b78c322e81d0 13 calculo de distancia euclidiana entre un punto y la base de datos
asyrofi 0:b78c322e81d0 14 ----------------------------------------------------------------*/
asyrofi 0:b78c322e81d0 15 void todasDistEuclid(double pt1[], double aux[], double** atributos, int fi, int co);
asyrofi 0:b78c322e81d0 16
asyrofi 0:b78c322e81d0 17 /*----------------------------------------------------------------
asyrofi 0:b78c322e81d0 18 Ordenamiento de las distancias de menor a mayor conservando clase
asyrofi 0:b78c322e81d0 19 ----------------------------------------------------------------*/
asyrofi 0:b78c322e81d0 20 void ordena(double datos[], int clases[], int clasesNo[], int fi);
asyrofi 0:b78c322e81d0 21
asyrofi 0:b78c322e81d0 22 /*----------------------------------------------------------------
asyrofi 0:b78c322e81d0 23 Extraer los N primeros
asyrofi 0:b78c322e81d0 24 ----------------------------------------------------------------*/
asyrofi 0:b78c322e81d0 25 void extraeKPrimeros(double datos[], double kPrimeros[], int clases[],
asyrofi 0:b78c322e81d0 26 int kClases[], int k);
asyrofi 0:b78c322e81d0 27
asyrofi 0:b78c322e81d0 28 /*----------------------------------------------------------------
asyrofi 0:b78c322e81d0 29 Calcula la clase mas frecuente: Moda
asyrofi 0:b78c322e81d0 30 ----------------------------------------------------------------*/
asyrofi 0:b78c322e81d0 31 int claseMasFrecuente(int clases[], int k);
asyrofi 0:b78c322e81d0 32
asyrofi 0:b78c322e81d0 33 /*----------------------------------------------------------------
asyrofi 0:b78c322e81d0 34 Mapea una clase en valor entero a un string
asyrofi 0:b78c322e81d0 35 ----------------------------------------------------------------*/
asyrofi 0:b78c322e81d0 36 char* obtieneClaseString(int claseint);
asyrofi 0:b78c322e81d0 37
asyrofi 0:b78c322e81d0 38 /*----------------------------------------------------------------
asyrofi 0:b78c322e81d0 39 Calcula la clase de un conjunto de atributos usando KNN
asyrofi 0:b78c322e81d0 40 ----------------------------------------------------------------*/
asyrofi 0:b78c322e81d0 41 int clasificaKNN(double** datos, int clasesNum[], double dato[], int k, int fi, int co);
asyrofi 0:b78c322e81d0 42
asyrofi 0:b78c322e81d0 43