R/mydann.R
mydann.Rd
mydann
mydann( train.data, test.data, p = dim(train.data$x)[2], kmetric = max(50, 0.2 * length(train.data$y)), k = 5, epsilon.list = c(1, 0.5, 2, 5), iter.list = 1, ... )
training data. All the features in matrix x. and class labels in y.
test data. Same format as the test data
dimensions of x
k met
Number of nearest neighbors
epsilon
iteration
Additional arguments passed to dann2
results
if (FALSE) { # \dontrun{ mydann() } # }