Classification using distance nearest neighbours

DOI10.1007/s11222-010-9179-yzbMath1255.62176arXiv1004.3925OpenAlexW2087153543MaRDI QIDQ5917856

Nial Friel, Anthony N. Pettitt

Publication date: 31 December 2012

Published in: Statistics and Computing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1004.3925

zbMATH Keywords

algorithmnumerical examplesMarkov chain Monte Carlostatistical inferenceMarkov random field\(k\)-nearest neighbours

Mathematics Subject Classification ID

Computational methods in Markov chains (60J22) Random fields (60G60) Random fields; image analysis (62M40) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Numerical analysis or methods applied to Markov chains (65C40)

Related Items (3)

Spatial hidden Markov models and species distributions ⋮ A similarity-based Bayesian mixture-of-experts model ⋮ Pre-processing for approximate Bayesian computation in image analysis

Uses Software

• ElemStatLearn

Cites Work

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• Likelihood inference in nearest-neighbour classification models
• A Probabilistic Nearest Neighbour Method for Statistical Pattern Recognition
• Exact sampling with coupled Markov chains and applications to statistical mechanics
• A Bayesian Reassessment of Nearest-Neighbor Classification
• Sequential Monte Carlo without likelihoods
• An efficient Markov chain Monte Carlo method for distributions with intractable normalising constants
• Using Unlabelled Data to Update Classification Rules with Applications in Food Authenticity Studies
• The elements of statistical learning. Data mining, inference, and prediction

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