Nearest neighbour algorithm

Known as: Nearest neighbor algorithm 
The nearest neighbour algorithm was one of the first algorithms used to determine a solution to the travelling salesman problem. In it, the salesman… (More)
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Papers overview

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2015
2015
Many algorithms have been implemented to the problem of Automatic Text Categorization (ATC). Most of the work in this area has… (More)
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2014
2014
This paper proposes an optimization scheme for the image interpolation algorithms, in particular the bilinear algorithm. The only… (More)
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Review
2013
Review
2013
To classify data whether it is in the field of neural networks or maybe it is any application of Biometrics viz: Handwriting… (More)
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2013
2013
k-nearest neighbour algorithm is a non-parametric machine learning algorithm generally used for classification. It is also known… (More)
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2008
2008
The amount of data collected and stored in databases is growing considerably in almost all areas of human activity. In complex… (More)
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2002
2002
Many pattern recognition tasks make use of the k nearest neighbour (k–NN) technique. In this paper we are interested on fast k… (More)
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Highly Cited
2002
Highly Cited
2002
Data quality is a major concern in Machine Learning and other correlated areas such as Knowledge Discovery from Databases (KDD… (More)
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Highly Cited
1997
Highly Cited
1997
Shape indexing is a way of making rapid associations between features detected in an image and object models that could have… (More)
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Highly Cited
1996
Highly Cited
1996
In an earlier paper [9], we introduced a new “boosting” algorithm called AdaBoost which, theoretically, can be used to… (More)
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1992
1992
Noise smoothing is a basic operation in image processing. Numerous filters, each to be used for different noise conditions and… (More)
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