selectK

data


Vector containing the class label of each sample.


class


Maximum number of nearest neighbours to be considered.


max.k


Function <code>selectK</code> finds the optimum number of nearest neighbours for the K-Nearest Neighbours (KNN) algorithm.


internal

The MAIT package contains functions to perform end-to-end
statistical analysis of LC/MS Metabolomic Data. Special
emphasis is put on peak annotation and in modular function
design of the functions.

Francesc FernandezAlbert

MAIT

Statistical Analysis of Metabolomic Data

selectK function

Vector containing the class label of each sample.

Maximum number of nearest neighbours to be considered.

Function <code>selectK</code> finds the optimum number of nearest neighbours for the K-Nearest Neighbours (KNN) algorithm.

selectK: Looks for the optimum number of nearest neighbours to be considered for the KNN

Description

Usage

Arguments

Value

See Also