norm.data: The data normalization

In frbs: Fuzzy Rule-Based Systems for Classification and Regression Tasks

Description

This function is to transform from real-valued data into normalized data.

Usage

norm.data(dt.ori, range.data, min.scale = 0, max.scale = 1)

Arguments

dt.ori	a matrix (n \times m) of the original data.
range.data	a matrix (2 \times n) containing the range of the data, where n is the number of variables, and first and second rows are the minimum and maximum value, respectively.
min.scale	the minimum value within normalization.
max.scale	the maximum value within normalization.

Value

the normalized data

See Also

denorm.data

frbs documentation built on Dec. 16, 2019, 1:19 a.m.