k-MLE, k-Bregman, k-VARs: Theory, Convergence, Computation

Yue, Zuogong, Solo, Victor

Sep-10-2024–arXiv.org Machine Learning

We develop hard clustering based on likelihood rather than distance and prove convergence. We also provide simulations and real data examples.

artificial intelligence, data mining, machine learning, (17 more...)

arXiv.org Machine Learning

Sep-10-2024

Country:
- Asia > China
  - Hubei Province > Wuhan (0.04)
- Europe > United Kingdom
  - England > Greater London > London (0.04)
- North America > United States
  - California > Santa Clara County
    - Palo Alto (0.04)
  - Connecticut > Fairfield County
    - Stamford (0.04)
  - Massachusetts > Middlesex County
    - Cambridge (0.04)
  - New York (0.04)
- Oceania > Australia
  - New South Wales > Kensington (0.04)

Genre:
- Research Report (0.82)

Technology:
- Information Technology
  - Artificial Intelligence
    - Machine Learning
      - Learning Graphical Models (0.68)
      - Statistical Learning > Clustering (1.00)
    - Representation & Reasoning (1.00)
  - Data Science > Data Mining (0.94)

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