rknn {rknn} | R Documentation |
Random KNN Classification and Regression
rknn(data, newdata, y, k = 1, r = 500, mtry = trunc(sqrt(ncol(data))), cluster = NULL, seed = NULL) rknn.cv(data, y, k = 1, r = 500, mtry=trunc(sqrt(ncol(data))), cluster=NULL, seed = NULL) rknnReg(data, newdata, y, k=1, r=500, mtry=trunc(sqrt(ncol(data))), cluster=NULL, seed=NULL)
data |
A training dataset. |
newdata |
A testing dataset. |
y |
A vector of responses. |
k |
Number of nearest neighbors. |
r |
Number of KNNs. |
mtry |
Number of features to be drawn for each KNN. |
cluster |
An object of class ‘c("SOCKcluster", "cluster")’ |
seed |
An integer seed. |
Return a RandomKNN
object.
Shengqiao Li<lishengqiao@yahoo.com>