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Keywords
K Nearest Neighbour

kNN,K Nearest Neighbour,k nearest neighbours

K Nearest Neighbour - kNN
Publications: 966| Citation Count: 6,665
Stemming Variations: k nearest neighbours
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    • The k-nearest neighbour (kNN) rule is a simple and effective method for multi-way classication that is much used in Computer Vision. However, its performance depends heavily on the distance metric being employed. The recently proposed large margin nearest neighbour (LMNN) classier (21) learns a distance metric for kNN classication and thereby improves its accuracy...

    M. Pawan Kumaret al. An Invariant Large Margin Nearest Neighbour Classifier

    • The k-nearest neighbour (k-nn) model is a simple, popular classier. Probabilistic k-nn is a more powerful variant in which the model is cast in a Bayesian framework using (reversible jump) Markov chain Monte Carlo methods to average out the uncertainy over the model parameters. The k-nn classier depends crucially on the metric used to determine distances between data points...

    Richard M. Eversonet al. A Variable Metric Probabilistic k-Nearest-Neighbours Classifier

    • The k-Nearest Neighbour (k-NN) method is a typical lazy learning paradigm for solving classification problems. Although this method was originally proposed as a non-parameterised method, attribute weight setting has been commonly adopted to deal with irrelevant attributes...

    Lu Zhanget al. Setting attribute weights for k-NN based binary classification via qua...

    • The k-nearest neighbour (KNN) technique is a simple yet effective method for classification...

    William Perrizoet al. An efficient weighted nearest neighbour classifier using vertical data...

    • The k-Nearest Neighbour (kNN) approach is a widely-used technique for pattern classification. Ranked distance measurements to a known sample set determine the classification of unknown samples. Though effective, kNN, like most classification methods does not scale well with increased sample size. This is due to their being a relationship between the unknown query and every other sample in the data space...

    Victoria J. Hodgeet al. Improved AURA k-Nearest Neighbour Approach

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