cluster - Discovering Statistics
Postgraduate Statistics : cluster Analysis cluster Analysis Aims and Objectives By the end of this seminar you should: have a working knowledge of the ways in which similarity between cases can be quantified ( single linkage, complete linkage and average linkage). Be able to produce and interpret dendrograms produced by SPSS. Know that different methods of clustering will produce different cluster structures. What is cluster Analysis? We have already seen that we can use Factor Analysis to group variables according to shared variance. In factor analysis, we take several variables, examine how much variance these variables share, and how much is unique and then cluster ' variables together that share the same variables.
Postgraduate Statistics: Cluster Analysis Dr. Andy Field Page 3 02/05/00 Figure 2 shows two examples of responses across the factors of the SAQ. In both diagrams the two people (Zippy and George) have similar profiles (the lines are parallel).
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