Hraw: Raw prototypes

In fclust: Fuzzy Clustering

Raw prototypes

Description

Produces prototypes using the original units of measurement of X (useful if the clustering algorithm is run using standardized data).

Usage

 Hraw (X, H)

Arguments

X	Matrix or data.frame
H	Prototype matrix

Value

Hraw	Prototypes matrix using the original units of measurement of X

Author(s)

Paolo Giordani, Maria Brigida Ferraro, Alessio Serafini

See Also

Fclust, unemployment

Examples

## example n.1 (k-means case)
## unemployment data
data(unemployment)
## fuzzy k-means
unempFKM=FKM(unemployment,k=3,stand=1)
## standardized prototypes
unempFKM$H
## prototypes using the original units of measurement
unempFKM$Hraw=Hraw(unempFKM$X,unempFKM$H)
## example n.2  (k-medoids case)
## unemployment data
data(unemployment)
## fuzzy k-medoids
## Not run: 
## It may take more than a few seconds
unempFKM.med=FKM.med(unemployment,k=3,RS=10,stand=1)
## prototypes using the original units of measurement:
## in fuzzy k-medoids one can equivalently use
unempFKM.med$Hraw1=Hraw(unempFKM.med$X,unempFKM.med$H)
unempFKM.med$Hraw2=unempFKM.med$X[unempFKM.med$medoid,]
## End(Not run)

fclust documentation built on Nov. 16, 2022, 5:10 p.m.