# 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

 1 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

denorm.data

frbs documentation built on May 19, 2017, 7:28 p.m.

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