Exam 20: Iscriminant, Factor and Cluster Analysis

Which of the following is a valid approach to clustering? 1-"Top-down" hierarchical clustering 2-"Top-down" nonhierarchical clustering 3-Piecewise linear clustering 4-"Bottom-up" nonhierarchical clustering

Which of the following methods of clustering uses the "nearest neighbor" approach ?

The simple correlation between the independent variable and the discriminant function is represented by

In discriminant analysis, with M groups and p predictor variables, the number of discriminant functions is given by

Which of the following statements are true of the hierarchical approach? I.The approach is relatively easy to read and interpret. II.The output has the logical structure that should theoretically always exist. III.The subsequent analysis is constrained by the first combination or separation of objects. IV.It tends to be more reliable. V.If the program makes a close decision early in the analysis that subsequently proves to be wrong with respect to the clustering criterion, it can be remedied. VI.Split-sample results will tend to look more similar.

Which of the following is true about factor analysis?