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We are using the k-nearest neighbors algorithm to classify the new data points. The features are on different scales. Which method can help us to solve this problem?
Correct Answer: B
Explanation Normalization is a method that can help us to solve the problem of features being on different scales when using the k-nearest neighbors algorithm. Normalization is a technique that rescales the values of features to a common range, such as [0, 1] or [-1, 1]. Normalization can help reduce the influence or dominance of some features over others, as well as improve the accuracy and performance of the algorithm2.
