Information-Maximization Clustering Based on Squared-Loss Mutual Information

DOI10.1162/NECO_a_00534zbMath1418.62257arXiv1112.0611OpenAlexW2137420707WikidataQ46134842 ScholiaQ46134842MaRDI QIDQ5378312

Makoto Yamada, Gang Niu, Masashi Sugiyama, Manabu Kimura, Hirotaka Hachiya

Publication date: 12 June 2019

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1112.0611

zbMATH Keywords

clusteringprobabilistic classifierinformation-maximization

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Related Items

Semi-supervised information-maximization clustering, Functional data clustering via information maximization, Regularized Multitask Learning for Multidimensional Log-Density Gradient Estimation, Unnamed Item

Uses Software

• DIFFRAC
• PRMLT

Cites Work

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• Direct importance estimation for covariate shift adaptation
• Machine learning with squared-loss mutual information
• NP-hardness of Euclidean sum-of-squares clustering
• Sample estimate of the entropy of a random vector
• Mixtures of Dirichlet processes with applications to Bayesian nonparametric problems
• An introduction to MCMC for machine learning
• Principal component analysis.
• Nonparametric and semiparametric models.
• Random matrix approximation of spectra of integral operators
• A Bayesian analysis of some nonparametric problems
• Density Ratio Estimation in Machine Learning
• The Nested Dirichlet Process
• Hierarchical Dirichlet Processes
• Bayesian k-Means as a “Maximization-Expectation” Algorithm
• Matrix Analysis
• The estimation of the gradient of a density function, with applications in pattern recognition
• 10.1162/153244302760200687
• Learning Theory and Kernel Machines
• Algorithmic Learning Theory
• Elements of Information Theory
• New Classes of Synchronous Codes
• Theory of Reproducing Kernels
• On Information and Sufficiency
• Variational inference for Dirichlet process mixtures