ENNreg_init {evreg} | R Documentation |
ENNreg_init
returns initial parameter values for the ENNreg model.
ENNreg_init(X, y, K, nstart = 100, c = 1)
X |
Input matrix of size n x p, where n is the number of objects and p the number of attributes. |
y |
Vector of length n containing observations of the response variable. |
K |
Number of prototypes. |
nstart |
Number of random starts of the k-means algorithm (default: 100) |
c |
Multiplicative coefficient applied to scale parameter gamma (defaut: 1) |
Prototypes are initialized by the k-means algorithm.
An object of class "ENNreg", which can be passed to function ENNreg
.
Thierry Denoeux.
## Boston dataset
library(MASS)
attach(Boston)
X <- as.matrix(scale(Boston[,1:13]))
y <- Boston[,14]
psi <- ENNreg_init(X,y,K=30)