knn.var.r

本程序是基于linux系统下c++代码

### Name: knn.var
### Title: K-Nearest Neighbor Classification With Variable Selection
### Aliases: knn.var
### Keywords: models

### ** Examples

data(iris)
set.seed (3)
samp <- sample (nrow(iris), size = 75, replace=FALSE)
knn.var (iris[samp,c(5, 1:4)]) # Build classifier
# Output produced by this-is-escaped-codenormal-bracket33bracket-normal
## Not run: This knn classifier is based on 75 observations.
##D It uses 1 out of 4 variables without scaling.
##D 
##D Training rate is 0.01333 , achieved at k = 1
## End(Not run)
iris.knn <- knn.var (iris[samp,c(5, 1:4)]) # Build and save, then predict
predict (iris.knn, iris[-samp,c(5, 1:4)], iris[samp, c(5, 1:4)])
## Not run: 
##D $rate
##D [1] 0.08
## End(Not run)