Which cluster analysis procedure can automatically determine the optimal number of clusters by comparing the values of a model-choice across different clustering solutions?
A) Ward's method
B) divisive
C) TwoStep
D) sequential threshold

Question

Quizplus · Accepted Answer

The TwoStep cluster analysis procedure can automatically determine the optimal number of clusters by comparing the values of a model-choice across different clustering solutions. This is done by using a log-likelihood distance measure to assess the fit of models with different numbers of clusters, and selecting the number of clusters that provides the best balance between model fit and parsimony. Ward's method, divisive, and sequential threshold methods do not have this automatic model selection feature.

Which Cluster Analysis Procedure Can Automatically Determine the Optimal Number