k nearest neighbors (knn)

How to Overcome the Limitations?

To mitigate these challenges, several strategies can be employed:

Feature selection to remove irrelevant data
Dimensionality reduction techniques like PCA (Principal Component Analysis)
Using weighted KNN where closer neighbors have more influence
Cross-validation to determine the optimal value of k

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