Normalize Equal Distance

Context

Algorithm Details & Recommendations

  • The Normalized Equal Distance algorithm pre-processes the data with a smoothing algorithm to remove outliers before computing equal partitions.

  • As a result, the algorithm is less sensitive to outliers than the Equal Distance algorithm.

  • The algorithm also takes into account the Minimum Interval Weight that defines the minimum prior probability of a bin.

  • You can adjust the default Minimum Interval Weight under Main > Menu > Window > Preferences > Discretization.

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