Fast κ-NN Classification Using the Cluster-Space Approach
A fast k-nearest neighbor algorithm is presented which combines k-NN with a cluster-space data representation. Implementation of the algorithm is easier, and classification time can be significantly reduced. Computer-generated data show the modified k-NN
|Collections||ANU Research Publications|
|Source:||IEEE Geoscience and Remote Sensing Letters|
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