dist.to.knn

dataset

neighbors


This function returns an object in which columns contain
the indices of the first k neighbors followed by the
distances to each of these neighbors.


 math

Data preprocessing techniques for classification. Functions for normalization, handling of missing values,discretization, outlier detection, feature selection, and data visualization are included.

dist.to.knn: Auxiliary function for the LOF algorithm.

Description

Usage

Arguments

See Also