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, predicted first UMAP 2D embeddings.

UMAP2

Numeric, predicted second UMAP 2D embeddings.

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 -6.40   3.50     4
#> 2  9.55  -3.05     8
#> 3 -5.77  -6.76    13
#> 4  5.56   3.99    14
#> 5 -6.15   8.82    17
#> 6  0.342 -5.10    20