Minmax

Purpose

Min-Max scaling

Synopsis

[xcorr,mins,maxs] = minmax(x,options); %perform min-max scaling

Description

Scales rows (or columns) of the input x to be have a minima of 0 and a maxima of 1.

Inputs

• x = M by N matrix of data to be scaled (class "double" or "dataset").

Optional Inputs

• options = Options structure. See details below.

options = a structure array with the following fields:

• mode: [ 1 ] dimension of data on which to calculate the minima and maxima for scaling. 1 = over rows (to scale variables); 2 = over columns (to scale samples). Default is 1.

Outputs

• xcorr = the scaled data (xcorr will be the same class as x)

• mins = vector of minima for each row (or column)

• maxs = vector of maxima for each row (or column)

See Also

normaliz, preprocess, snv