5.4.5 - Clustering and Null Values - Teradata Warehouse Miner

Teradata Warehouse Miner User Guide - Volume 3Analytic Functions

Product
Teradata Warehouse Miner
Release Number
5.4.5
Published
February 2018
Language
English (United States)
Last Update
2018-05-04
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The presence of null values in the data may result in clusters that differ from those that would have resulted from zero or numeric values. Since null data values may bias or invalidate the analysis, they should be replaced or the column eliminated. Alternatively, the listwise deletion option can be selected to exclude rows with any null values in the preprocessing phase.