Results 81 to 90 of about 3,294 (168)
Approximation Algorithms for Bregman Co-clustering and Tensor Clustering
, 2008 In the past few years powerful generalizations to the Euclidean k-means problem have been made, such as Bregman clustering [7], co-clustering (i.e., simultaneous clustering of rows and columns of an input matrix) [9,18], and tensor clustering [8,34 ...
Banerjee, Arindam +2 more
core +1 more source
Dangerous Times, Deliberate Acts: A Talk on Violence, Agency and Some Possibilities for Response
Journal of Advanced Nursing, Volume 82, Issue S1, Page S10-S14, March 2026.
Colleen Varcoe
wiley +1 more source
Improving clustering using Bregman divergences [PDF]
, 2014 We review Bregman divergences and use them in clustering algorithms which we have previously developed to overcome one of the difficulties of the standard k-means algorithm which is its sensitivity to initial conditions which leads to finding sub-optimal local minima. We show empirical results on artificial data sets.
Ashour, Wesam M., Fyfe, Colin
openaire
Geometric Structures Induced by Deformations of the Legendre Transform. [PDF]
Entropy (Basel), 2023 Morales PA, Korbel J, Rosas FE.
europepmc +1 more source
Quantization and clustering with Bregman divergences
Journal of Multivariate Analysis, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +1 more source
Revisiting Chernoff Information with Likelihood Ratio Exponential Families. [PDF]
Entropy (Basel), 2022 Nielsen F.
europepmc +1 more source
A generalized Bayes framework for probabilistic clustering. [PDF]
Biometrika, 2023 Rigon T, Herring AH, Dunson DB.
europepmc +1 more source
Conformal mirror descent with logarithmic divergences. [PDF]
Inf Geom, 2023 Kainth AS, Wong TL, Rudzicz F.
europepmc +1 more source
Convex Relaxations of Bregman Divergence Clustering
, 2013 Appears in Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI2013)
Cheng, Hao +2 more
openaire +2 more sources
A Simple Approximation Method for the Fisher-Rao Distance between Multivariate Normal Distributions. [PDF]
Entropy (Basel), 2023 Nielsen F.
europepmc +1 more source