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K-Nearest Neighbor algorithm
In pattern recognition, the k-Nearest Neighbor algorithm is a method similar to the nearest neighbour classification method. The diffrence lies in the fact that rather than assigning a classification based upon the classification of the nearest neighbour the algorithm selects a set which contains the k nearest neighbours and assigns the class label to the new data point based upon the most numerous class with the set.
Last updated: 06-03-2005 20:52:18
03-10-2013 05:06:04
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The contents of this article is licensed from www.wikipedia.org under the GNU Free Documentation License. Click here to see the transparent copy and copyright details