three_circulars: Generate Three Circular Clusters with Noise
In cardinalR: Collection of Data Structures
three_circulars R Documentation
Generate Three Circular Clusters with Noise
Description
This function generates three circular clusters in 4D space with added noise dimensions.
Usage
three_circulars(n, num_noise, min_n, max_n)
Arguments
n
The total number of samples to generate.
num_noise
The number of additional noise dimensions to add to the data.
min_n
The minimum value for the noise dimensions.
max_n
The maximum value for the noise dimensions.
Value
A matrix containing the three circular clusters with added noise.
Examples
set.seed(20240412)
circular_clusters_data <- three_circulars(
n = 300, num_noise = 2,
min_n = -0.05, max_n = 0.05
)
cardinalR documentation built on May 29, 2024, 4:37 a.m.
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| three_circulars | R Documentation |
Generate Three Circular Clusters with Noise
Description
This function generates three circular clusters in 4D space with added noise dimensions.
Usage
three_circulars(n, num_noise, min_n, max_n)
Arguments
n |
The total number of samples to generate. |
num_noise |
The number of additional noise dimensions to add to the data. |
min_n |
The minimum value for the noise dimensions. |
max_n |
The maximum value for the noise dimensions. |
Value
A matrix containing the three circular clusters with added noise.
Examples
set.seed(20240412)
circular_clusters_data <- three_circulars(
n = 300, num_noise = 2,
min_n = -0.05, max_n = 0.05
)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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