Handbook of Anomaly Detection: With Python Outlier Detection — (8) KNN

Chris Kuo/Dr. Dataman
Dataman in AI
Published in
10 min readAug 6, 2019

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(Revised on December 9, 2022)

The K-nearest neighbor algorithm, known as KNN or k-NN, probably is one of the most popular algorithms in machine learning. KNNs are typically used as a supervised learning technique where the target labels are provided. KNNs can also be used for the computation of the distance to the k neighbors. Because the…

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Chris Kuo/Dr. Dataman
Dataman in AI

The Dataman articles are my reflections on data science and teaching notes at Columbia University https://sps.columbia.edu/faculty/chris-kuo