A Novel Template Reduction Approach for the [K]-Nearest Neighbor Method
The [K]-nearest neighbor (KNN) rule is one of the most widely used pattern classification algorithms. For large data sets, the computational demands for classifying patterns [abstract truncated by publisher].
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| Published in | IEEE transactions on neural networks Vol. 20; no. 5; pp. 890 - 896 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
01.05.2009
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| Online Access | Get full text |
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| Summary: | The [K]-nearest neighbor (KNN) rule is one of the most widely used pattern classification algorithms. For large data sets, the computational demands for classifying patterns [abstract truncated by publisher]. |
|---|---|
| Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
| ISSN: | 1045-9227 |
| DOI: | 10.1109/TNN.2009.2018547 |