Abstract
Nearest neighbors (NN) is a supervised machine learning technique. The basic principle of a NN algorithm is to find the neighbors located near to each data point in the test dataset and then assign it to a class that is most represented by the neighbors. NN classifier works by taking into consideration the maximum number of nearest neighbors belonging to the similar class.
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Thomas, T., P. Vijayaraghavan, A., Emmanuel, S. (2020). Nearest Neighbor and Fingerprint Classification. In: Machine Learning Approaches in Cyber Security Analytics. Springer, Singapore. https://doi.org/10.1007/978-981-15-1706-8_6
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DOI: https://doi.org/10.1007/978-981-15-1706-8_6
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