normalization: The Max-Min Normalization

In fmf: Fast Class Noise Detector with Multi-Factor-Based Learning

Description

This function normalizes the data using the max-min normalization

Usage

normalization(x, margin = 2)

Arguments

x	the dataset.
margin	data is normalized by row (margin = 1) or by column (margin = 2). The default is 2.

Author(s)

Wanwan Zheng

Examples

data(ozone)
scaled.data = normalization(ozone[,-1])
ozone.scale = data.frame(y = as.character(ozone[,1]), scaled.data[,-1])

fmf documentation built on Sept. 3, 2020, 9:07 a.m.