Clustering Stable Instances of Euclidean k-means.

Aravindan Vijayaraghavan, Abhratanu Dutta, Alex Wang

Nov-21-2025, 13:03:51 GMT–Neural Information Processing Systems

We design efficient algorithms that provably recover the optimal clustering for instances that are additive perturbation stable.

algorithm, artificial intelligence, machine learning, (17 more...)

Neural Information Processing Systems

Nov-21-2025, 13:03:51 GMT

Conferences PDF

Country:
- Asia
  - Afghanistan > Parwan Province
    - Charikar (0.04)
  - China > Beijing
    - Beijing (0.04)
- Europe > United Kingdom
  - England > Cambridgeshire > Cambridge (0.04)
- North America > United States
  - California
    - Los Angeles County > Long Beach (0.04)
    - San Diego County > San Diego (0.04)

Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning > Statistical Learning
    - Clustering (0.31)
  - Representation & Reasoning (0.94)

Duplicate Docs Excel Report

Title
Clustering Stable Instances of Euclidean k-means.
Clustering Stable Instances of Euclidean k-means.

Similar Docs Excel Report more

Title	Similarity	Source
None found