scale: Data Scalling

In spatialClust: Spatial Clustering using Fuzzy Geographically Weighted Clustering

Description

Provide data scalling using z-transform, zero to one scalling and minus one to one scalling

Usage

scale(data, method = "zerotoone")

Arguments

data	matrix data
method	scalling technique use "z" for z-transform, "zerotoone" for zero to one scalling and "oneminuseone" minus one to one scalling

Value

scalled matrix data

See Also

fgwc for standard Fuzzy Geographically Weighted Clustering, fgwc.gsa for optimize using Gravitational Search Algorithm, spClustIndex for cluser validation, visualize for cluster visualizatiion

Examples

#load data
data <- example

#zero to one scalling
data <- scale(data)
data <- scale(data,method="zerotoone")

#z-transform
data <- scale(data,method="z")

#minus one to one scalling
data <- scale(data,method="oneminuseone")

spatialClust documentation built on May 2, 2019, 6:42 p.m.