In what scenarios might a custom distance metric be needed in KNN, and how would you go about implementing it?

  • When K is very large
  • When data has specific characteristics
  • When data is uniform
  • When using standardized data
A custom distance metric might be needed when data has specific characteristics that require a particular measure of similarity. Implementation involves defining a function that captures these characteristics.
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