Predicted UMAP embedding for S-curve dataset which with noise dimensions

The `s_curve_noise_umap_predict` dataset contains the predicted UMAP (Uniform Manifold Approximation and Projection) embeddings of a three-dimensional S-curve with added noise. Each data point is represented by two UMAP coordinates (UMAP1 and UMAP2) and an ID.

Usage

data(s_curve_noise_umap_predict)

Format

## `s_curve_noise_umap_predict` A data frame with 75 rows and 3 columns:

UMAP1

Numeric, UMAP coordinate 1.

UMAP2

Numeric, UMAP coordinate 2.

ID

Numeric, identifier for each data point.

Source

This dataset is generated for illustrative purposes.

Examples

# Load the s_curve_noise_umap_predict dataset
data(s_curve_noise_umap_predict)

# Display the first few rows of the dataset
head(s_curve_noise_umap_predict)
#> # A tibble: 6 × 3
#>    UMAP1  UMAP2    ID
#>    <dbl>  <dbl> <int>
#> 1 -2.23  -5.98      5
#> 2  0.813  0.910    10
#> 3  2.78   3.91     13
#> 4 -1.20  -5.31     18
#> 5 -0.928 -4.04     27
#> 6 -2.37  -6.45     28