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)