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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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Papers overview

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2014
2014
The state-of-the-art classification algorithms rarely consider the relationship between the attributes in the data sets and… 
2008
2008
The k-nearest neighbor (kNN) is one of the simplest classifl- cation methods used in machine learning. Since the main component… 
2008
2008
This paper presents an accelerator for k-th nearest neighbor thinning, a run time intensive algorithmic kernel used in recent… 
2007
2007
  • Wei WuK. Tan
  • 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… 
2007
2007
K-Nearest Neighbor algorithm(KNN) and Bayesian network classification algorithm(BN) are currently widely used classification… 
2006
2006
An improved adaptive k-nearest neighbor algorithm is brought forward because the traditional k-nearest neighbor algorithm has… 
2006
2006
Summary A k nearest neighbor (k-NN) query retrieves k objects in a given objects set which are closest to the query point q… 
1999
1999
The kernel based nonlinear subspace (KNS) method is proposed for multi-class pattern classification. This method consists of the… 
1996
1996
Presents cost estimates for finding the k-nearest neighbors to a test pattern according to a Minkowski p-metric, as a function of… 
1991
1991
  • Anil K. JainJ. Mao
  • 1991
  • Corpus ID: 61974720
The authors propose an artificial neural network architecture to implement the k-nearest neighbor (k-NN) classifier. This…