7.6k citations · 8.1k across the 4 of their papers we have counts for
Showing stat.MLShow all
2 papers · 1 filter
stat.ML2018★ 7.6k cited
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes, John Healy, James Melville
UMAP (Uniform Manifold Approximation and Projection) is a novel manifold learning technique for dimension reduction. UMAP is constructed from a theoretical framework based in Riema…
stat.ML2017★ 439 cited
Accelerated Hierarchical Density Clustering
Leland McInnes, John Healy
We present an accelerated algorithm for hierarchical density based clustering. Our new algorithm improves upon HDBSCAN*, which itself provided a significant qualitative improvement…