shapes.circles3 | R Documentation |
Generation of data set containing three 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)
)
shapes.circles3(numObjects=180,shape1rFrom=0.15,shape1rTo=0.3,
shape2rFrom=0.55,shape2rTo=0.7,shape3rFrom=1.15,shape3rTo=1.3,
outputCsv="", outputCsv2="", outputColNames=TRUE, outputRowNames=TRUE)
numObjects |
number of objects in each cluster - positive integer value or vector with length=3 |
,
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 |
shape3rFrom |
minimal value of radius for third ring |
shape3rTo |
maximal value of radius for third 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 |
|
outputRowNames |
|
clusters |
cluster number for each object |
data |
generated data - matrix with objects in rows and variables in columns |
Marek Walesiak marek.walesiak@ue.wroc.pl, Andrzej Dudek andrzej.dudek@ue.wroc.pl
Department of Econometrics and Computer Science, University of Economics, Wroclaw, Poland
shapes.worms
,shapes.circles2
,shapes.bulls.eye
,shapes.two.moon
,shapes.blocks3d
#Example1
library(clusterSim)
sc3a<-shapes.circles3(180)
plot(sc3a$data,col=rainbow(3)[sc3a$clusters])
#Example2
library(clusterSim)
sc3b<-shapes.circles3(numObjects=c(120,180,240))
plot(sc3b$data,col=rainbow(3)[sc3b$clusters])
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