A Classifier Based on K-Nearest Neighbors Using Weighted Summation of Reconstruction Errors
In this paper, a classifier is introduced based on the nearest neighbor classifier and the reconstruction error for data classification. In the proposed method, first, K nearest data points (neighbors) from each category in the training data are calculated for the test data point. Then, the reconstr...
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| Main Authors: | , |
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| Format: | Article |
| Language: | fas |
| Published: |
Semnan University
2024-04-01
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| Series: | مجله مدل سازی در مهندسی |
| Subjects: | |
| Online Access: | https://modelling.semnan.ac.ir/article_8365_94db06f7afdc0cf0db3fb7d849247001.pdf |
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