Communications of the ACM - Special issue on parallelism
Instance-Based Learning Algorithms
Machine Learning
Tolerating noisy, irrelevant and novel attributes in instance-based learning algorithms
International Journal of Man-Machine Studies - Special issue: symbolic problem solving in noisy and novel task environments
C4.5: programs for machine learning
C4.5: programs for machine learning
Machine learning, neural and statistical classification
Machine learning, neural and statistical classification
Feature subset selection by Bayesian network-based optimization
Artificial Intelligence
Machine Learning
Machine Learning
Machine Learning
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
An Efficient Aproach to Similarity-Based Retrieval on Top of Relational Databases
EWCBR '00 Proceedings of the 5th European Workshop on Advances in Case-Based Reasoning
A study of distance-based machine learning algorithms
A study of distance-based machine learning algorithms
Pattern Recognition Letters
Statistical Comparisons of Classifiers over Multiple Data Sets
The Journal of Machine Learning Research
Nearest neighbor editing aided by unlabeled data
Information Sciences: an International Journal
A method of learning weighted similarity function to improve the performance of nearest neighbor
Information Sciences: an International Journal
Distance Metric Learning for Large Margin Nearest Neighbor Classification
The Journal of Machine Learning Research
A novel template reduction approach for the K-nearest neighbor method
IEEE Transactions on Neural Networks
Divergence estimation for multidimensional densities via k-nearest-neighbor distances
IEEE Transactions on Information Theory
Neighbor-weighted K-nearest neighbor for unbalanced text corpus
Expert Systems with Applications: An International Journal
Fast exact k nearest neighbors search using an orthogonal search tree
Pattern Recognition
Efficient mutual nearest neighbor query processing for moving object trajectories
Information Sciences: an International Journal
Nearest neighbor pattern classification
IEEE Transactions on Information Theory
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The nearest neighbor classification method assigns an unclassified point to the class of the nearest case of a set of previously classified points. This rule is independent of the underlying joint distribution of the sample points and their classifications. An extension to this approach is the k-NN method, in which the classification of the unclassified point is made by following a voting criteria within the k nearest points. The method we present here extends the k-NN idea, searching in each class for the k nearest points to the unclassified point, and classifying it in the class which minimizes the mean distance between the unclassified point and the k nearest points within each class. As all classes can take part in the final selection process, we have called the new approach k Nearest Neighbor Equality (k-NNE). Experimental results we obtained empirically show the suitability of the k-NNE algorithm, and its effectiveness suggests that it could be added to the current list of distance based classifiers.