Exam 20: Cluster Analysis

A(n)________ or tree graph is a graphical device for displaying clustering results. Vertical lines represent clusters that are joined together. The position of the line on the scale indicates the distances at which clusters were joined.

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.

Cluster analysis has been used in marketing for all of the purposes below except ________.

The ________ is a nonhierarchical method that allows for later reassignment of objects to clusters to optimize an overall criterion.

Which of the following is not a procedure to check the quality of clustering results?

The average linkage method of hierarchical clustering is preferred to the single and complete linkage methods.

It is possible to obtain information on cluster membership of cases via the icicle plot if the number of clusters is specified.

Cluster analysis is the obverse of factor analysis in that it reduces the number of objects, not the number of variables, by grouping them into a much smaller number of clusters.

Most clustering methods are relatively complex procedures that are supported by an extensive body of statistical reasoning.

It is helpful to profile the clusters in terms of variables that were not used for clustering.

The complete linkage method of hierarchical clustering is based on the minimum distance or the nearest neighbor approach.

One method of assessing reliability and validity of clustering is to use different methods of clustering and compare the results.

________ is a clustering procedure characterized by the development of a tree-like structure.

The most commonly used measure of similarity is the ________ or its square.

________ is a variance method in which the squared euclidean distance to the cluster means is minimized.

In SAS, the ________ program can be used for the hierarchical clustering of objects or cases.

Clustering should be done on samples of ________ or more.

The most important part of ________ is selecting the variables on which clustering is based.

Which cluster analysis procedure can automatically determine the optimal number of clusters by comparing the values of a model-choice across different clustering solutions?

Which of the methods below is not a hierarchical method?