Clustering in Hilbert’s Projective Geometry: The Case Studies of the Probability Simplex and the Elliptope of Correlation Matrices
DOI10.1007/978-3-030-02520-5_11zbMath1418.53022arXiv1704.00454OpenAlexW2901691022MaRDI QIDQ4967762
Publication date: 10 July 2019
Published in: Geometric Structures of Information (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1704.00454
Finsler geometryinformation geometry\(k\)-means clusteringelliptope\(k\)-center clusteringFisher-Riemannian geometryHilbert simplex geometrymultinoulli distributionpolytope distance
Probability distributions: general theory (60E05) General theory of linear incidence geometry and projective geometries (51A05) Local Riemannian geometry (53B20) Synthetic treatment of fundamental manifolds in projective geometries (Grassmannians, Veronesians and their generalizations) (51M35)
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- On clustering histograms with \(k\)-means by using mixed \(\alpha\)-divergences
- Fast projection onto the simplex and the \(l_1\) ball
- The epic story of maximum likelihood
- Voronoi polytopes for polyhedral norms on lattices
- On approximating the Riemannian 1-center
- Hilbert metrics and Minkowski norms
- The Cauchy--Schwarz divergence and Parzen windowing: Connections to graph theory and Mercer kernels
- Information geometry and its applications
- Visualization and processing of tensor fields. Advances and perspectives
- Hilbert geometry of polytopes
- Clustering to minimize the maximum intercluster distance
- Voronoi diagrams in higher dimensions under certain polyhedral distance functions
- Chentsov's theorem for exponential families
- Simplicial algorithms on the simplotope
- No dimension-independent core-sets for containment under homothetics
- Simplicial faces of the set of correlation matrices
- On the smallest enclosing information disk
- Minisum hyperspheres
- Riemann-Finsler geometry with applications to information geometry
- Optimal core-sets for balls
- Approximating Covering and Minimum Enclosing Balls in Hyperbolic Geometry
- Worst-case and smoothed analysis of k-means clustering with Bregman divergences
- ISOMETRIES OF POLYHEDRAL HILBERT GEOMETRIES
- Perspectives on Projective Geometry
- Bregman Clustering for Separable Instances
- APPROXIMATING SMALLEST ENCLOSING BALLS WITH APPLICATIONS TO MACHINE LEARNING
- On Balls in a Hilbert Polygonal Geometry (Multimedia Contribution)
- A combinatorial bound for linear programming and related problems
- Cramer-Rao Lower Bound and Information Geometry
- Geometric Modeling in Probability and Statistics
- Ideal Elements in Hilbert's Geometry
- Medians and means in Finsler geometry
- Spherical k-Means++ Clustering
- Geometry of Quantum States
- A Note on Divergences
- Minimum Variance Estimation Without Regularity Assumptions
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