dist.to.knn: An auxiliary function of 'lofactor()'

In DMwR: Functions and data for "Data Mining with R"

Description

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.

Usage

dist.to.knn(dataset, neighbors)

Arguments

dataset	A data set that will be internally coerced into a matrix.
neighbors	The number of neighbours.

Details

This function is strongly based on the code provided by Acuna et. al. (2009) for the previously available dprep package.

Value

A matrix

Author(s)

Luis Torgo [e-mail]

References

Acuna, E., and Members of the CASTLE group at UPR-Mayaguez, (2009). dprep: Data preprocessing and visualization functions for classification. R package version 2.1.

Torgo, L. (2010) Data Mining using R: learning with case studies, CRC Press (ISBN: 9781439810187).

http://www.dcc.fc.up.pt/~ltorgo/DataMiningWithR

See Also

lofactor

DMwR documentation built on May 1, 2019, 9:17 p.m.