What is the most widely used distance metric in KNN?Euclidean distanceManhattan distancePerpendicular distanceAll of the aboveClear selection
Question
What is the most widely used distance metric in KNN?Euclidean distanceManhattan distancePerpendicular distanceAll of the aboveClear selection
Solution
The most widely used distance metric in K-Nearest Neighbors (KNN) algorithm is the Euclidean distance.
Here's why:
- K-Nearest Neighbors (KNN) is a type of instance-based learning algorithm that classifies a new instance based on the 'distance' to known instances.
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