knn_training_function {FastKNN} | R Documentation |
KNN Training The knn_training_function returns the labels for a training set using the k-Nearest Neighbors Clasification method.
Description
KNN Training The knn_training_function returns the labels for a training set using the k-Nearest Neighbors Clasification method.
Usage
knn_training_function(dataset, distance, label, k = 1)
Arguments
dataset |
is a matrix with the features of the training set |
distance |
is a nxn matrix with the distance between each observation of the training set |
label |
is a nx1 vector with the labels of the training set |
k |
is from the numeric class and represent the number of neigbours to be use in the classifier. |
Details
This function is use to check the quality of the Classifier. Because then the predicted labels are compared with the true labels
Value
a k vector with the predicted labels for the training set. #'
See Also
k.nearest.neighbors
sample
[Package FastKNN version 0.0.1 Index]