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K-nearest neighbors algorithm

Known as: Ibk algorithm, Nearest neighbors classifier, K-NN 
In pattern recognition, the k-Nearest Neighbors algorithm (or k-NN for short) is a non-parametric method used for classification and regression. In… 
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Related topics

Related topics

47 relations
Anomaly detectionArrayTrackBelur V. DasarathyBias–variance tradeoff

Broader (1)

Statistical classification

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Integrated Parallel K-Nearest Neighbor Algorithm
  • Rashmi Agrawal
  • Smart Intelligent Computing and Applications
  • 2018
  • Corpus ID: 69369672
The task of classification in applications of data mining is also known as supervised learning where some specific classes are… 
2015
2015
Multi-GPU implementation of k-nearest neighbor algorithm
Using modern Graphic Processing Units (GPUs) becomes very useful for computing complex and time consuming processes. GPUs provide… 
2015
2015
A Coupled k-Nearest Neighbor Algorithm for Multi-label Classification
ML-\(k\)NN is a well-known algorithm for multi-label classification. Although effective in some cases, ML-\(k\)NN has some defect… 
2012
2012
05-07 5 K-Nearest Neighbor in Missing Data Imputation
We propose a comparative study on single imputation techniques such as Mean, Median, and Standard Deviation combined with k-NN… 
2010
2010
A refined weighted K-Nearest Neighbors algorithm for text categorization
Text categorization is one important task of text mining, for automated classification of large numbers of documents. Many useful… 
2010
2010
A Novel Prototype Reduction Method for the K-Nearest Neighbor Algorithm with K >= 1
In this paper, a novel prototype reduction algorithm is proposed, which aims at reducing the storage requirement and enhancing… 
2010
2010
Algorithms for constrained k-nearest neighbor queries over moving object trajectories
An important query for spatio-temporal databases is to find nearest trajectories of moving objects. Existing work on this topic… 
2009
2009
A CUDA-based parallel implementation of K-nearest neighbor algorithm
Recent developments in Graphics Processing Units (GPUs) have enabled inexpensive high performance computing for general-purpose… 
2009
2009
Arrhythmia Beat Classification Using Pruned Fuzzy K-Nearest Neighbor Classifier
In this paper, Pruned Fuzzy K-nearest neighbor (PFKNN) classifier is proposed to classify different types of Arrhythmia beats… 
2005
2005
Kernel-based Fuzzy K-nearest-neighbor Algorithm
In this paper, the fuzzy k-nearest-neighbor is extended to a kernel-based model which performs a nonlinear classification by… 
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