generate.sample.h2 {clusterv}R Documentation

Three-level hierarchical cluster generator.

Description

A 2-dimensional three-level hierarchical cluster structure is generated. At a first level 3 distinct clusters at the vertices of an equilater triangle are generated. At a second level two other clusters at the left and right of the three "primary" clusters are generated (6 clusters) At a third level two other clusters above and below the secondaty clusters are generated (12 clusters)

Usage

generate.sample.h2(n = 20, l = 8, Delta.h = 2, Delta.v = 1, sd = 0.1, 
with.I.II.level.examples = FALSE)

Arguments

n

number of examples for each cluster

l

half length of the edge of the equilater triangle

Delta.h

half of the "abscissa" distance between each pair of clusters inside the three major clusters

Delta.v

half of the "ordinate" distance between each pair of clusters inside the three second order clusters

sd

standard deviation

with.I.II.level.examples

if TRUE data at the first and secondary level are generated (for a total of 21 clusters), otherwise only the third level

Value

a matrix with dim rows (variables) and n*6 columns (examples)

Author(s)

Giorgio Valentini valentini@di.unimi.it

Examples

generate.sample.h2()
# Generation of a data set with 240 2-dimensional examples
# data have a three-level hierarchical structure with respectively 3 and 6 and 12 clusters. 
generate.sample.h2(n = 20, l = 10, Delta.h = 2, Delta.v = 1, sd = 0.05)

[Package clusterv version 1.1.1 Index]