Development of cluster analysis methods suitable for student opinion data.
Aiken, Joel Weston
Read, Robert R.
MetadataShow full item record
The Naval Postgraduate School's Student Opinion Form data were subjected to study through the use of two cluster analysis techniques: (1) K-MEANS partitioning method and (2) Chernoff 's FACES. Much developmental work was performed to tailor these methods to the special requirements of the data set. A thorough multivariate statistical review provided the basis for choosing optimality criteria and distance functions for use in the MIKCA (Multivariate Iterative K-MEANS Clustering Algorithm) . Alterations were made to the computer code to allow the analysis to include the effect of class size on cluster membership. Use of the linear discriminant function aided in identifying variables for use in constructing features of the computer-drawn faces . This approach to the Chernoff ' s FACES technique shows promise but needs further development. A principal components analysis of the data showed it to be essentially one dimensional. Partitioning the data into four clusters shows that the scoring of the courses varies inversely with class size.
Approved for public release; distribution unlimited
Showing items related by title, author, creator and subject.
Knight, Steven D. (Monterey, California. Naval Postgraduate School, 1998-06-01);As the Department of Defense (DoD) continually relies more on Modeling and Simulation (M&S) for testing, analyzing, and training, issues of interoperability have become one of the most important concerns. As such, DoD ...
Borah, David C. (Monterey, California. Naval Postgraduate School, 1995-06);The purpose of this thesis is to report the status of financial analysis of private sector firms as it is presently being conducted within the Department of Defense. In doing so, this thesis describes and compares five ...
Lewis, Peter A. W. (Monterey, California. Naval Postgraduate School, 1976-09); NFS 55Lw76091We describe recent results in the development of methodology of the statistical analysis of univariate series of events (point processes) and give some references to applications in the analysis and evaluation of computer ...