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Minimum-Volume Enclosing Ellipsoids and Core Sets

Author

Listed:
  • P. Kumar

    (Florida State University)

  • E. A. Yildirim

    (Stony Brook University)

Abstract

We study the problem of computing a (1+ε)-approximation to the minimum-volume enclosing ellipsoid of a given point set $${\cal S} = \{p^{1}, p^{2}, \dots, p^{n}\} \subseteq {\mathbb R}^{d}$$ . Based on a simple, initial volume approximation method, we propose a modification of the Khachiyan first-order algorithm. Our analysis leads to a slightly improved complexity bound of $$O(nd^{3}/\epsilon)$$ operations for $$\epsilon \in(0, 1)$$ . As a byproduct, our algorithm returns a core set $${\cal X} \subseteq {\cal S}$$ with the property that the minimum-volume enclosing ellipsoid of $${\cal X}$$ provides a good approximation to that of $${\cal S}$$ . Furthermore, the size of $${\cal X}$$ depends on only the dimension d and ε, but not on the number of points n. In particular, our results imply that $$\vert {\cal X} \vert = O(d^{2}/\epsilon)$$ for $$\epsilon \in(0, 1)$$ .

Suggested Citation

  • P. Kumar & E. A. Yildirim, 2005. "Minimum-Volume Enclosing Ellipsoids and Core Sets," Journal of Optimization Theory and Applications, Springer, vol. 126(1), pages 1-21, July.
  • Handle: RePEc:spr:joptap:v:126:y:2005:i:1:d:10.1007_s10957-005-2653-6
    DOI: 10.1007/s10957-005-2653-6
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    Citations

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    Cited by:

    1. Karim Abou-Moustafa & Frank P. Ferrie, 2018. "Local generalized quadratic distance metrics: application to the k-nearest neighbors classifier," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 12(2), pages 341-363, June.
    2. P. Kumar & E. A. Yıldırım, 2008. "Computing Minimum-Volume Enclosing Axis-Aligned Ellipsoids," Journal of Optimization Theory and Applications, Springer, vol. 136(2), pages 211-228, February.
    3. Piyush Kumar & E. Alper Yıldırım, 2009. "An Algorithm and a Core Set Result for the Weighted Euclidean One-Center Problem," INFORMS Journal on Computing, INFORMS, vol. 21(4), pages 614-629, November.
    4. Rosa, Samuel & Harman, Radoslav, 2022. "Computing minimum-volume enclosing ellipsoids for large datasets," Computational Statistics & Data Analysis, Elsevier, vol. 171(C).
    5. Jiajia Li & Jinfu Liu & Peigang Yan & Xingshuo Li & Guowen Zhou & Daren Yu, 2021. "Operation Optimization of Integrated Energy System under a Renewable Energy Dominated Future Scene Considering Both Independence and Benefit: A Review," Energies, MDPI, vol. 14(4), pages 1-36, February.
    6. Piyush Kumar & E. Alper Yıldırım, 2011. "A Linearly Convergent Linear-Time First-Order Algorithm for Support Vector Classification with a Core Set Result," INFORMS Journal on Computing, INFORMS, vol. 23(3), pages 377-391, August.
    7. Cyril Bachelard & Apostolos Chalkis & Vissarion Fisikopoulos & Elias Tsigaridas, 2024. "Randomized Control in Performance Analysis and Empirical Asset Pricing," Papers 2403.00009, arXiv.org.

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