Equal Distance


Algorithm Details & Recommendations

  • The Equal Distance algorithm computes the equal distances based on the range of the variable.

  • This method is particularly useful for discretizing variables that share the same variation domain (e.g. satisfaction measures in surveys).

  • Additionally, this method is suitable for obtaining a discrete representation of the density function.

  • However, the Equal Distance algorithm is extremely sensitive to outliers and can generate intervals that do not contain any data points. Please see the Normalized Equal Distance algorithm, which addresses this particular issue.

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