Research map / Learning theory and algorithms / Clustering

Angle K-Means

ICLR 2026 · Learning theory and algorithms › Clustering · approach: k-means++ seeding analysis

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

• Fast k-means with accurate bounds (ICML 2016 · similarity 0.90)
• Fast and Accurate $k$-means++ via Rejection Sampling (NeurIPS 2020 · similarity 0.85)
• Speeding up k-means by approximating Euclidean distances via block vectors (ICML 2016 · similarity 0.84)
• Improved Learning-augmented Algorithms for k-means and k-medians Clustering (ICLR 2023 · similarity 0.84)
• LSDS++ : Dual Sampling for Accelerated k-means++ (ICML 2023 · similarity 0.84)
• Near-Linear Time Approximation Algorithms for k-means with Outliers (ICML 2024 · similarity 0.82)