The TwoStep cluster analysis procedure can automatically determine the optimal number of clusters by comparing the values of a model-choice criteria across different clustering solutions.

Question

Quizplus · Accepted Answer

This is true. The TwoStep cluster analysis uses model-choice criteria to determine the optimal number of clusters, such as the Bayesian Information Criterion (BIC) or the Akaike Information Criterion (AIC). These criteria compare the fit of different clustering solutions and select the one with the best balance of model complexity and goodness of fit.

The TwoStep Cluster Analysis Procedure Can Automatically Determine the Optimal