shapes.circles2: 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 ring shapes (circles)

Description

Generation of data set containing two clusters with untypical ring shapes. For each point first random radius r from given interval is generated then random angle alpha and finally the coordinates of point are calculated as (r*cos(alpha),r*sin(alpha)). For bull's eye data set second shape is filled circle (r starts from 0)

Usage

shapes.circles2(numObjects=180, shape1rFrom=0.75,shape1rTo=0.9,shape2rFrom=0.35,
shape2rTo=0.5,outputCsv="", outputCsv2="", outputColNames=TRUE,  outputRowNames=TRUE)
shapes.bulls.eye(numObjects=180, shape1rFrom=0.75,shape1rTo=0.95,shape2rTo=0.45,
outputCsv="", outputCsv2="", outputColNames=TRUE, outputRowNames=TRUE)

Arguments

numObjects

number of objects in each cluster - positive integer value or vector with length=2

,

shape1rFrom	minimal value of radius for first ring
shape1rTo	maximal value of radius for first ring
shape2rFrom	minimal value of radius for second ring
shape2rTo	maximal value of radius for second ring
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.circles3,shapes.bulls.eye,shapes.two.moon,shapes.blocks3d

Examples

#Example1
library(clusterSim)
sc2<-shapes.circles2(180)
plot(sc2$data,col=rainbow(2)[sc2$clusters])

#Example2
library(clusterSim)
sbe<-shapes.bulls.eye(numObjects=c(120,60))
plot(sbe$data,col=rainbow(2)[sbe$clusters])

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