generate.sample7 {clusterv} | R Documentation |
Sample7 generator: multivariate normally distributed data synthetic generator
Description
n examples for each from 6 classes are generated. All classes (each one of n examples) has dim components The clusters have a hierarchical structure: 2 or 6 clusters may be detected. Anyway note that the structure of the data depends on the parameters: two main clusters are centered in m and -m. Around each main cluster two other subclusters are generated using the displacement d.
Usage
generate.sample7(n = 20, m = 10, dim = 1000, d = 3, s = 1)
Arguments
n |
number of examples for each class |
m |
mean basic value |
dim |
amount of the displacement from m |
d |
dimension of the examples |
s |
value of the diagonal elements of the covariance matrix |
Value
a matrix with dim rows (variables) and n*6 columns (examples)
Author(s)
Giorgio Valentini valentini@di.unimi.it
Examples
generate.sample7()
# Generation of a data set with 60 100-dimensional examples
# data have a two-level hierarchical structure with respectively 2 and 6 clusters
generate.sample7(n = 10, m = 10, dim = 100, d = 4, s = 0.4)
[Package clusterv version 1.1.1 Index]