<< train_test_split CHE3007S transform_standardization >>

CHE3007S >> CHE3007S > transform_MinMax

transform_MinMax

min-max scaling of data

Syntax

[data_out, header_out] = transform_standardization(data, header, variables_of_interest)

Parameters

data_out:

matrix of values, original data matrix with additional columns containing the scaled data, each column corresponding to a header_out entry

header_out:

row vector of strings, headings for data_out

data:

matrix of values, raw input data

header:

row vector of strings, headings of data matrix

variables_of_interest:

row vector of strings, identifying the variables for which we will do min-max scaling.


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