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Perhaps the most straightforward classifier in the arsenal or machine learning techniques is the Nearest Neighbour Classifier -- classification is achieved by identifying the nearest neighbours to a query example and using those neighbours to determine the class of the query.
On information and sufficiency
Solomon Kullback and Richard A Leibler · 1951
Earlier work this paper cites.
The condensed nearest neighbor rule (corresp.)
Peter Hart · 1968
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The reduced nearest neighbor rule (corresp.)
Geoffrey Gates · 1972
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Asymptotic properties of nearest neighbor rules using edited data
Dennis L Wilson · 1972
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Multidimensional binary search trees used for associative searching
Jon Louis Bentley · 1975
Earlier work this paper cites.
A branch and bound algorithm for computing k-nearest neighbors
Keinosuke Fukunaga and Patrenahalli M. Narendra · 1975
Earlier work this paper cites.
An algorithm for a selective nearest neighbor decision rule (corresp.)
G Ritter, H Woodruff, S Lowry, and T Isenhour · 1975
Earlier work this paper cites.
An experiment with the edited nearest-neighbor rule
Ivan Tomek · 1976
Earlier work this paper cites.
Multidimensional binary search trees in database applications
Jon Louis Bentley · 1979
Earlier work this paper cites.
Toward a universal law of generalization
Roger N Shepard · 1988
Earlier work this paper cites.
Instance-based learning algorithms
David W Aha, Dennis Kibler, and Marc K Albert · 1991
Earlier work this paper cites.
An introduction to kernel and nearest-neighbor nonparametric regression
Naomi S Altman · 1992
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Minimum description length instance-based learning
R MIKE Cameron-Jones · 1992
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Selecting typical instances in instance-based learning
Jianping Zhang · 1992
Earlier work this paper cites.
Addressing the selective superiority problem: Automatic algorithm/model class selection
Carla E Brodley · 1993
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Remembering to forget
Barry Smyth and Mark T Keane · 1995
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Fish and shrink. a next step towards efficient case retrieval in large scaled case bases
Jörg Walter Schaaf · 1996
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Two algorithms for nearest-neighbor search in high dimensions
Jon M Kleinberg · 1997
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Wrappers for feature subset selection
Ron Kohavi and George H John · 1997
Cited alongside, same era.
The earth mover’s distance, multi-dimensional scaling, and color-based image retrieval
Yossi Rubner, Leonidas J Guibas, and Carlo Tomasi · 1997
Cited alongside, same era.
Instance pruning techniques
D Randall Wilson and Tony R Martinez · 1997
Cited alongside, same era.
Approximate nearest neighbors: towards removing the curse of dimensionality
Piotr Indyk and Rajeev Motwani · 1998
Cited alongside, same era.
Feature subset selection in text-learning
Dunja Mladenić · 1998
Cited alongside, same era.
Competence-guided editing methods for lazy learning
Elizabeth McKenna and Barry Smyth · 2000
Cited alongside, same era.
An investigation of practical approximate nearest neighbor algorithms
Ting Liu, Andrew W Moore, Ke Yang, and Alexander G Gray · 2005
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Cover trees for nearest neighbor
Alina Beygelzimer, Sham Kakade, and John Langford · 2006
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Fast nearest neighbor condensation for large data sets classification
Fabrizio Angiulli · 2007
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k k -nearest neighbour classifiers
Padraig Cunningham and Sarah Jane Delany · 2007
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Catching the drift: Using feature-free case-based reasoning for spam filtering
Sarah Jane Delany and Derek Bridge · 2007
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Dimension reduction
Pádraig Cunningham · 2008
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The earth mover’s distance as a metric for image retrieval
Yossi Rubner, Carlo Tomasi, and Leonidas J Guibas · 2000
Cited alongside, same era.
Reduction techniques for instance-based learning algorithms
D. Randall Wilson and Tony R. Martinez · 2000
Cited alongside, same era.
Derivative dynamic time warping
Eamonn J Keogh and Michael J Pazzani · 2001
Cited alongside, same era.
Pca vs. ica: A comparison on the feret data set
Kyungim Baek, Bruce A Draper, J Ross Beveridge, and Kai She · 2002
Cited alongside, same era.
Advances in instance selection for instance-based learning algorithms
Henry Brighton and Chris Mellish · 2002
Cited alongside, same era.
A symbolic representation of time series, with implications for streaming algorithms
Jessica Lin, Eamonn Keogh, Stefano Lonardi, and Bill Chiu · 2003
Cited alongside, same era.
Random projection trees and low dimensional manifolds
Sanjoy Dasgupta and Yoav Freund · 2008
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What is a good nearest neighbors algorithm for finding similar patches in images?
Neeraj Kumar, Li Zhang, and Shree Nayar · 2008
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Optimised kd-trees for fast image descriptor matching
Chanop Silpa-Anan and Richard Hartley · 2008
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Prototype selection for nearest neighbor classification: Taxonomy and empirical study
Salvador García, Joaquín Derrac, José Ramón Cano, and Francisco Herrera · 2012
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SFA: a symbolic fourier approximation and index for similarity search in high dimensional datasets
Patrick Schäfer and Mikael Högqvist · 2012
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C4. 5: programs for machine learning
J Ross Quinlan · 2014
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Comparing the pearson and spearman correlation coefficients across distributions and sample sizes: A tutorial using simulations and empirical data
Joost CF de Winter, Samuel D Gosling, and Jeff Potter · 2016
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The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances
Anthony Bagnall, Jason Lines, Aaron Bostrom, James Large, and Eamonn Keogh · 2017
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tslearn: A machine learning toolkit dedicated to time-series data
Romain Tavenard · 2017
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Annoy: Approximate Nearest Neighbors in C++/Python
Erik Bernhardsson · 2018
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Scoring performance on the y-balance test
Vivek Mahato, William Johnston, and Pádraig Cunningham · 2019
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