The `s_curve_noise` dataset contains a 3-dimensional S-curve with added noise dimensions. Each data point is represented by seven dimensions (x1 to x7) and an ID.
Usage
data(s_curve_noise)
Format
A data frame with 100 rows and 8 columns:
- ID
Identification number
- x1, x2, x3, x4, x5, x6, x7
High-dimensional coordinates
Examples
# Load the s_curve_noise dataset
data(s_curve_noise)
# Display the first few rows of the dataset
head(s_curve_noise)
#> # 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 -0.478 1.61 -1.88 0.0101 -0.00746 0.0101 0.00972 5
#> 6 0.818 0.0388 -1.58 0.00253 0.00167 0.0781 -0.00771 6