gau_curvy_clust {cardinalR} | R Documentation |
Generate Cluster and Curvilinear Data with Noise
Description
This function generates data with two clusters, one following a curvilinear pattern and the other distributed randomly.
Usage
gau_curvy_clust(n, clust_size_vec, num_noise, min_n, max_n)
Arguments
n |
The total number of data points to be generated. |
clust_size_vec |
A vector specifying the number of points for each cluster. If not provided, the n is divided equally between the two clusters. |
num_noise |
The number of additional noise dimensions to be generated. |
min_n |
The minimum value for the noise added to the data points. |
max_n |
The maximum value for the noise added to the data points. |
Value
A matrix containing the generated data, with each row representing a data point.
Examples
# Generate cluster and curvilinear data with custom parameters
set.seed(20240412)
data <- gau_curvy_clust(
n = 300, clust_size_vec = c(100, 200), num_noise = 3,
min_n = -0.05, max_n = 0.05
)
[Package cardinalR version 0.1.1 Index]