MNIST-Nd offers synthetic datasets to benchmark clustering across dimensions.
problem Clustering performance degrades with high-dimensional data.
method Training mixture variational autoencoders on MNIST to create synthetic datasets with varying latent dimensions.
result Leiden clustering algorithm is most robust as dimensionality grows.