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The k-nearest neighbors classification technique is very simple. To classify a new input vector of predictor values, you determine the k-nearest training data items, where k is typically 3, 5, or 7, ...
The scientists have developed machine learning-based algorithms which have received justified interest among researchers across different disciplines, and the field of medical image processing is ...
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