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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… 
2014
2014
A hybrid coupled k-nearest neighbor algorithm on imbalance data
The state-of-the-art classification algorithms rarely consider the relationship between the attributes in the data sets and… 
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… 
2012
2012
Correlation-based K-nearest neighbor algorithm
Data classification is an important task of data mining, and developing high-powered classification algorithm is one of the key… 
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… 
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… 
2007
2007
iSEE: Efficient Continuous K-Nearest-Neighbor Monitoring over Moving Objects
  • Wei WuK. Tan
  • 19th International Conference on Scientific and…
  • 2007
  • Corpus ID: 10635712
In this paper, we propose iSEE, a set of algorithms for efficient processing of continuous k-nearest-neighbor (CKNN) queries over… 
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… 
Highly Cited
1995
Highly Cited
1995
Pattern classification with genetic algorithms
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