Design and Implementation of Handwritten Digit Recognition Based on K-Nearest Neighbor Algorithm-Reference-Cited by-同舟云学术

Design and Implementation of Handwritten Digit Recognition Based on K-Nearest Neighbor Algorithm

Published:2020-10-06 Issue: Volume: Page:448-455
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Wang Ying,Liu Qingyun,Sun Yaqi,Zhang Feng,Zhu Yining

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-8462-6_50

Reference7 articles.

1. Singh, P.K., Sarkar, R., Nasipuri, M.: A study of moment based features on handwritten digit recognition. Appl. Comput. Intell. Soft Comput. 2016, 111–127 (2016)

2. Pang, G., Jin, H., Jiang, S.: CenKNN: A scalable and effective text classifier. Data Mining Knowl. Discov. 29(3), 593–625 (2015)

3. Nguyen, B., Morell, C., Baets, B.D.: Large-scale distance metric learning for k-nearest neighbors regression. Neurocomputing 214, 805–814 (2016)

4. Yigit, H.: ABC-based distance-weighted kNN algorithm. J. Exp. Theoretical Artif. Intell. Artif. Intell. 27(2), 189–198 (2015)

5. Majumder, S.: Handwritten digit recognition by elastic matching. J. Comput. 1067–1074 (2018)

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