Simulated Gaussian Blobs Dataset

A list containing a simulated dataset of 1600 points in 20 dimensions, organized into 8 Gaussian clusters. Designed for benchmarking and demonstrating dimensionality reduction methods.

Usage

songR_blobs

Format

A list with three elements:

data

Numeric matrix (1600 x 20) of simulated features.

labels

Factor of length 1600 indicating cluster membership.

description

Character string describing the dataset.

Source

Simulated data inspired by the experimental setup in Senanayake et al. (2021) doi:10.1109/TNNLS.2020.3023941 .

Examples

data(songR_blobs)
str(songR_blobs)
#> List of 3
#>  $ data       : num [1:1600, 1:20] -3.11 -1.6 -3.43 1.19 -4.47 ...
#>  $ labels     : Factor w/ 8 levels "cluster_1","cluster_2",..: 1 1 1 1 1 1 1 1 1 1 ...
#>  $ description: chr "Simulated Gaussian blobs dataset"