The processing of numeric data has changed

The processing of numeric data has changed. This change does not effect existing projects.

There were two methods to choose from to join the results of individual columns, Euclidean Distance and Manhattan Distance. There is now only one method, which is average distance.

Euclidean Distance emphasises larger values over smaller ones. That doesn’t make much sense in the current set-up.

Manhattan Distance is just the unscaled version of average distance.

The use of Cronbach’s Alpha has also changed. It used to be applied to the numeric data itself. Now it is applied to the measurements of the data, just like it is with the processing of string data and categorical data.

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