Research map / Learning theory and algorithms / Clustering
Fast k-means Seeding Under The Manifold Hypothesis
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- k-variates++: more pluses in the k-means++ (ICML 2016 · similarity 0.89)
- Approximate K-Means++ in Sublinear Time (AAAI 2016 · similarity 0.89)
- Fast and Accurate $k$-means++ via Rejection Sampling (NeurIPS 2020 · similarity 0.88)
- Analyzing $D^\alpha$ seeding for $k$-means (ICML 2024 · similarity 0.87)
- Unified K-Means Clustering with Label-Guided Manifold Learning (ICML 2025 · similarity 0.87)
- Near-Linear Time Approximation Algorithms for k-means with Outliers (ICML 2024 · similarity 0.85)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
