clustersim: clustersim: A cluster simulator for testing clustering...

In crj32/M3C: Monte Carlo Reference-based Consensus Clustering

Description

clustersim: A cluster simulator for testing clustering algorithms

Usage

clustersim(n, n2, r, K, alpha, wobble, redp = NULL, print = FALSE,
  seed = NULL)

Arguments

n	Numerical value: The number of samples, it must be square rootable
n2	Numerical value: The number of features
r	Numerical value: The radius to define the initial circle (use approx n/100)
K	Numerical value: How many clusters to simulate
alpha	Numerical value: How far to pull apart the clusters
wobble	Numerical value: The degree of noise to add to the sample co ordinates
redp	Numerical value: The fraction of samples to remove from one cluster
print	Logical flag: whether to print the PCA into current directory
seed	Numerical value: fixes the seed if you want to repeat results

Value

A list: containing 1) matrix with simulated data in it

Examples

res <- clustersim(225, 900, 8, 4, 0.75, 0.025, redp = NULL, seed=123)

crj32/M3C documentation built on Feb. 19, 2020, 11:39 p.m.