A method for modifying variables that reduces bias prior to cluster analysis is
A)standardization.
B)weighting.
C)removing outliers.
D)randomizing.

Question

Quizplus · Accepted Answer

Standardization involves transforming the variables to have a mean of 0 and a standard deviation of 1, which helps reduce the impact of variables with larger scales or units, and minimizes bias in the clustering process. Weighting, removing outliers, and randomizing may also be useful in certain situations, but standardization is generally the most common method used for reducing bias in cluster analysis.

A Method for Modifying Variables That Reduces Bias Prior to Cluster