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Standardizing features

It is important to ensure that the feature inputs to the kNN distance calculation are standardized using the scale() function. Standardization ensures that features with large mean or variance do not disproportionately influence the kNN distance score.

This exercise is part of the course

Introduction to Anomaly Detection in R

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Exercise instructions

  • Apply the summary() function to the wine data to calculate the mean, minimum and maximum values for pH and alcohol.
  • Use the scale() function to create a standardized version of the wine data called wine_scaled.
  • Use the summary() function to wine_scaled to check that the mean and ranges have changed.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Without standardization, features have different scales
summary(wine)

# Standardize the wine columns
wine_scaled <- ___

# Standardized features have similar means and quartiles
___(___)
Edit and Run Code