k-NN-SSc: An Effective Similarity Score for k-NN Classifier
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-4284-8_4
Reference27 articles.
1. Guo G et al (2003) KNN model-based approach in classification. In: OTM confederated international conferences on the move to meaningful internet systems. Springer, Berlin, Heidelberg
2. Bhattacharya G, Ghosh K, Chowdhury AS (2012) An affinity-based new local distance function and similarity measure for kNN algorithm. Pattern Recogn Lett 33(3):356–363
3. Dimensionality Invariant Similarity Measure, Ahmad Basheer Hassanat. arXiv:1409.0923 [cs.LG]
4. Ougiaroglou S, Nanopoulos A, Papadopoulos AN, Manolopoulos Y, WelzerDruzovec T (2007) Adaptive k-nearest-neighbor classification using a dynamic number of nearest neighbors. In: East European conference on advances in databases and information systems. Springer, pp 66–82
5. Zhong XF, Guo SZ, Gao L, Shan H, Zheng JH (2017) An improved k-NN classification with dynamic k. In: Proceedings of the 9th international conference on machine learning and computing, pp 211–216
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