greyimage: Generate grey version of the ordered dissimilarities matrix

In zcebeci/VatAna: Visual Assessment of Clustering Tendency for Finding the Number of Clusters in a Dataset

Description

This function generates the grey-level version of the ordered dissimilarity matrix (ODM) for VAT analysis.

Usage

greyimage(img, greylevel=256, disp=FALSE)

Arguments

img	A numeric matrix containing the ordered dissimilarities.
greylevel	An integer describing the levels of grey image to be generated. Usual levels are 8, 16, 128 and 256. The default value is 256.
disp	A logical value whether the grey-level dissimilarities image will be displayed or not. The default is TRUE.

Details

If lower grey-levels are selected the blocks in the image can be seen more easily.

Value

img	Grey-level ordered dissimilarities matrix

Author(s)

Zeynel Cebeci

References

Cebeci, Z. & Yildiz, F. (2015). Gorsel Kumelenme Egilimi Degerlendirmesi ve R'de Uygulamasi. Cukurova Universitesi Ziraat Fakultesi Dergisi, 30 (2), 1-8. (URL: https://dergipark.org.tr/en/download/article-file/219860)

See Also

binimage, findk, findk2, genbinimg, vatimage, vatdisp

Examples

# Load the dataset protcarbo
data(protcarbo)

# Run vatimage to build ordered dissimilarities matrix 
vatmat <- vatimage(protcarbo, disp=FALSE)$odm

# Generate the grey-level ordered dissimilarities matrix with 256 grey levels.
greymat <- greyimage(vatmat, disp=TRUE)
head(greymat)

# Generate the grey-level ordered dissimilarities matrix with 16 grey levels.
greymat2 <- greyimage(vatmat, greylevel=16, disp=TRUE)
head(greymat2)

zcebeci/VatAna documentation built on Dec. 25, 2019, 7:07 p.m.