shapes.worms: Generation of data set containing two clusters with untypical...

In clusterSim: Searching for Optimal Clustering Procedure for a Data Set

Generation of data set containing two clusters with untypical parabolic shapes (worms)

Description

Generation of data set containing two clusters with untypical parabolic shapes (first is given by y=x^2, second by y=-(x-a)^2+b with distortion from <-tol,+tol>)

Usage

shapes.worms(numObjects=180,shape1x1=-2,shape1x2=2,shape2x1=-0.5,
shape2x2=2.5,shape2a=1.5,shape2b=5.5,tol=0.1,outputCsv="", outputCsv2="", 
outputColNames=TRUE, outputRowNames=TRUE)

Arguments

numObjects	number of objects in each cluster - positive integer value or vector with length=2
shape1x1	starting value on abscissa axis for shape 1
shape1x2	end value on abscissa axis for shape 1
shape2x1	starting value on abscissa axis for shape 2
shape2x2	end value on abscissa axis for shape 2
shape2a	parameter a of shape 2
shape2b	parameter b of shape 2
tol	tolerance - each generated point is randomized by adding runif(1,0,tol)
outputCsv	optional, name of csv file with generated data (first column contains id, second - number of cluster and others - data)
outputCsv2	optional, name of csv (a comma as decimal point and a semicolon as field separator) file with generated data (first column contains id, second - number of cluster and others - data)
outputColNames	outputColNames=TRUE indicates that output file (given by outputCsv and outputCsv2 parameters) contains first row with column names
outputRowNames	outputRowNames=TRUE indicates that output file (given by outputCsv and outputCsv2 parameters) contains a vector of row names

Value

clusters	cluster number for each object
data	generated data - matrix with objects in rows and variables in columns

Author(s)

Marek Walesiak [e-mail], Andrzej Dudek [e-mail]

Department of Econometrics and Computer Science, University of Economics, Wroclaw, Poland

See Also

shapes.worms,shapes.circles2,shapes.circles3,shapes.bulls.eye,shapes.two.moon,shapes.blocks3d

Examples

library(clusterSim)
sw<-shapes.worms(180)
plot(sw$data,col=rainbow(2)[sw$clusters])

clusterSim documentation built on Sept. 30, 2024, 9:15 a.m.