S-curve dataset with noise dimensions for training

The `s_curve_noise_training` dataset contains training data with dimensions x1, x2, x3, x4, x5, x6, and x7. Each data point is identified by an ID.

Usage

data(s_curve_noise_training)

Format

A data frame with 225 rows and 8 columns:

ID

Identification number

x1, x2, x3, x4, x5, x6, x7

High-dimensional coordinates

Source

This dataset is generated for training purposes.

Examples

# Load the s_curve_noise_training dataset
data(s_curve_noise_training)

# Display the first few rows of the dataset
head(s_curve_noise_training)
#> # A tibble: 6 × 8
#>        x1     x2       x3       x4        x5       x6       x7    ID
#>     <dbl>  <dbl>    <dbl>    <dbl>     <dbl>    <dbl>    <dbl> <int>
#> 1 -0.120  0.114  -1.99    -0.00246 -0.0178   -0.0181  -0.00317     1
#> 2 -0.0492 0.822   0.00121  0.0161   0.00968  -0.0834   0.00230     2
#> 3 -0.774  0.243   0.367   -0.0198   0.00408  -0.0349  -0.00911     3
#> 4 -0.606  1.96   -1.80     0.0132  -0.000479 -0.00478 -0.00843     4
#> 5  0.818  0.0388 -1.58     0.00253  0.00167   0.0781  -0.00771     6
#> 6  0.910  1.55    1.42     0.0124   0.0160   -0.00248 -0.00832     7