[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
10.5555/1283383.1283463acmconferencesArticle/Chapter ViewAbstractPublication PagessodaConference Proceedingsconference-collections
Article

On Bregman Voronoi diagrams

Published: 07 January 2007 Publication History

Abstract

The Voronoi diagram of a point set is a fundamental geometric structure that partitions the space into elementary regions of influence defining a discrete proximity graph and dually a well-shaped Delaunay triangulation. In this paper, we investigate a framework for defining and building the Voronoi diagrams for a broad class of distortion measures called Bregman divergences, that includes not only the traditional (squared) Euclidean distance, but also various divergence measures based on entropic functions. As a by-product, Bregman Voronoi diagrams allow one to define information-theoretic Voronoi diagrams in statistical parametric spaces based on the relative entropy of distributions. We show that for a given Bregman divergence, one can define several types of Voronoi diagrams related to each other by convex duality or embedding. Moreover, we can always compute them indirectly as power diagrams in primal or dual spaces, or directly after linearization in an extra-dimensional space as the projection of a Euclidean polytope. Finally, our paper proposes to generalize Bregman divergences to higher-order terms, called κ-jet Bregman divergences, and touch upon their Voronoi diagrams.

References

[1]
S. Amari and H. Nagaoka, Methods of Information Geometry, Oxford University Press, 2000.
[2]
F. Aurenhammer, Power diagrams: Properties, algorithms and applications, SIAM Journal of Computing, 16 (1987), pp. 78--96.
[3]
F. Aurenhammer and R. Klein, Voronoi Diagrams, Handbook of Computational Geometry, J. Sack and G. Urrutia, Eds., Elsevier, 2000, pp. 201--290.
[4]
A. Banerjee, S. Merugu, I. S. Dhillon, and J. Ghosh, Clustering with Bregman divergences, Journal of Machine Learning Research, 6 (2005), pp. 1705--1749.
[5]
J.-D. Boissonnat and M. Karavelas, On the combinatorial complexity of Euclidean Voronoi cells and convex hulls of d-dimensional spheres, Proc. 14th ACM-SIAM Sympos. Discrete Algorithms, 2003, pp. 305--312.
[6]
J.-D. Boissonnat, C. Wormser, and M. Yvinec, Anisotropic diagrams: Labelle Shewchuk approach revisited, 17th Canadian Conference on Computational Geometry, 2005, pp. 266--269.
[7]
J.-D. Boissonnat and M. Yvinec, Algorithmic Geometry, Cambridge University Press, 1998.
[8]
L. M. Bregman, The relaxation method of finding the common point of convex sets and its application to the solution of problems in convex programming, USSR, Computational Mathematics and Mathematical Physics, 7 (1967), pp. 200--217.
[9]
K. Q. Brown, Voronoi diagrams from convex hulls, Inf. Process. Lett., 9 (1979), pp. 223--228.
[10]
B. Chazelle, An optimal convex hull algorithm in any fixed dimension, Discrete Computational Geometry, 10 (1993), pp. 377--409.
[11]
Q. Du, V. Faber and M. Gunzburger, Centroidal Voronoi Tesselations: Applications and Algorithms, SIAM Review, 41 (1999), pp. 637--676.
[12]
Y. Eldar, M. Lindenbaum, M. Porat and Y. Y. Zeevi, The Farthest Point Strategy for Progressive Image Sampling, IEEE Trans, on Image Processing, 6(9) (1997), pp. 1305--1315.
[13]
M. Herbster and M. Warmuth, Tracking the best regressor, Proc. 11th Conference on Computational Learning Theory, 1998, pp. 24--31.
[14]
R. Klein, Concrete and Abstract Voronoi Diagrams, vol. 400 of Lecture Notes in Computer Science, Springer, 1989. ISBN 3-540-52055-4.
[15]
G. Leibon and D. Letscher, Delaunay triangulations and Voronoi diagrams for Riemannian manifolds, Proc. 16th Symposium on Computational Geometry, 2000, pp. 341--349.
[16]
S. P. Lloyd, Least squares quantization in PCM, IEEE Trans. Inform. Theory (1982), pp. 129--137
[17]
P. McMullen, The maximum numbers of faces of a convex polytope, J. Combinatorial Theory, Ser. B, 10 (1971), pp. 179--184.
[18]
F. Nielsen, J.-D. Boissonnat, and R. Nock, On Bregman Voronoi diagrams, INRIA technical report, 2006.
[19]
R. Nock and F. Nielsen, Fitting the smallest enclosing Bregman ball, 16th European Conference on Machine Learning, 2005, pp. 649--656.
[20]
K. Onishi and H. Imai, Voronoi diagram in statistical parametric space by Kullback-Leibler divergence, in Proc. 13th Symposium on Computational Geometry, 1997, pp. 463--465.
[21]
K. Onishi and N. Takayama, Construction of Voronoi diagram on the upper half-plane, IEICE Transactions, 79--A (1996), pp. 533--539.
[22]
V. T. Rajan, Optimality of the Delaunay triangulation in R d , Disc. & Comp. Geom., 12 (1994), pp. 189--202.
[23]
J. Ruppert, A Delaunay Refinement Algorithm for Quality S-Dimensional Mesh Generation, J. Algorithms, 18 (1995), pp. 548--585.
[24]
K. Sadakane, H. Imai, K. Onishi, M. Inaba, F. Takeuchi, and K. Imai, Voronoi diagrams by divergences with additive weights, Proc. 14th Symposium on Computational Geometry, 1998, pp. 403--404.
[25]
M. Sharir, Almost tight upper bounds for lower envelopes in higher dimensions, Discrete Comput. Geom., 12 (1994), pp. 327--345.

Cited By

View all
  • (2014)Geometrical analysis of physically allowed quantum cloning transformations for quantum cryptographyInformation Sciences: an International Journal10.1016/j.ins.2014.07.010285:C(1-23)Online publication date: 20-Nov-2014
  • (2013)Algorithmic superactivation of asymptotic quantum capacity of zero-capacity quantum channelsInformation Sciences: an International Journal10.1016/j.ins.2012.08.008222(737-753)Online publication date: 1-Feb-2013
  • (2013)Pattern learning and recognition on statistical manifoldsProceedings of the Second international conference on Similarity-Based Pattern Recognition10.1007/978-3-642-39140-8_1(1-25)Online publication date: 3-Jul-2013
  • Show More Cited By

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences
SODA '07: Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms
January 2007
1322 pages
ISBN:9780898716245
  • Conference Chair:
  • Harold Gabow

Sponsors

Publisher

Society for Industrial and Applied Mathematics

United States

Publication History

Published: 07 January 2007

Check for updates

Qualifiers

  • Article

Acceptance Rates

SODA '07 Paper Acceptance Rate 139 of 382 submissions, 36%;
Overall Acceptance Rate 411 of 1,322 submissions, 31%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)2
  • Downloads (Last 6 weeks)0
Reflects downloads up to 10 Dec 2024

Other Metrics

Citations

Cited By

View all
  • (2014)Geometrical analysis of physically allowed quantum cloning transformations for quantum cryptographyInformation Sciences: an International Journal10.1016/j.ins.2014.07.010285:C(1-23)Online publication date: 20-Nov-2014
  • (2013)Algorithmic superactivation of asymptotic quantum capacity of zero-capacity quantum channelsInformation Sciences: an International Journal10.1016/j.ins.2012.08.008222(737-753)Online publication date: 1-Feb-2013
  • (2013)Pattern learning and recognition on statistical manifoldsProceedings of the Second international conference on Similarity-Based Pattern Recognition10.1007/978-3-642-39140-8_1(1-25)Online publication date: 3-Jul-2013
  • (2011)Revisiting hyperbolic voronoi diagrams in two and higher dimensions from theoretical, applied and generalized viewpointsTransactions on Computational Science XIV10.5555/2172419.2172420(1-30)Online publication date: 1-Jan-2011
  • (2011)Channel capacity restoration of noisy optical quantum channelsProceeding of 10th WSEAS international conference on electronics, hardware, wireless and optical communications, and 10th WSEAS international conference on signal processing, robotics and automation, and 3rd WSEAS international conference on nanotechnology, and 2nd WSEAS international conference on Plasma-fusion-nuclear physics10.5555/1959586.1959640(283-288)Online publication date: 20-Feb-2011
  • (2010)Constructing two-dimensional Voronoi diagrams via divide-and-conquer of envelopes in spaceTransactions on computational science IX10.5555/1986573.1986574(1-27)Online publication date: 1-Jan-2010
  • (2010)Constructing two-dimensional Voronoi diagrams via divide-and-conquer of envelopes in spaceTransactions on computational science IX10.5555/1980587.1980588(1-27)Online publication date: 1-Jan-2010
  • (2010)Independent component analysis using bregman divergencesProceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part II10.5555/1945847.1945922(627-636)Online publication date: 1-Jun-2010
  • (2010)Computational geometry IIAlgorithms and theory of computation handbook10.5555/1882723.1882725(2-2)Online publication date: 1-Jan-2010
  • (2009)Bregman vantage point trees for efficient nearest neighbor queriesProceedings of the 2009 IEEE international conference on Multimedia and Expo10.5555/1698924.1699139(878-881)Online publication date: 28-Jun-2009
  • Show More Cited By

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media