243 citations · 694 across the 14 of their papers we have counts for
Showing 2021 · cs.LGShow all
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cs.LG2021★ 1 cited
MESS: Manifold Embedding Motivated Super Sampling
Erik Thordsen, Erich Schubert
Many approaches in the field of machine learning and data analysis rely on the assumption that the observed data lies on lower-dimensional manifolds. This assumption has been verif…
cs.LG2021
Accelerating Spherical k-Means
Erich Schubert, Andreas Lang, Gloria Feher
Spherical k-means is a widely used clustering algorithm for sparse and high-dimensional data such as document vectors. While several improvements and accelerations have been introd…
cs.LG2021
A Triangle Inequality for Cosine Similarity
Erich Schubert
Similarity search is a fundamental problem for many data analysis techniques. Many efficient search techniques rely on the triangle inequality of metrics, which allows pruning part…