Fast κ-NN Classification Using the Cluster-Space Approach
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Description
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 |
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Date published: | 2005 |
Type: | Journal article |
URI: | http://hdl.handle.net/1885/80492 |
Source: | IEEE Geoscience and Remote Sensing Letters |
DOI: | 10.1109/LGRS.2005.846437 |
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