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Rogers, Gil; Linden, James D. – Educational and Psychological Measurement, 1973
Descriptors: Classification, Cluster Analysis, Cluster Grouping, Discriminant Analysis
Peer reviewed Peer reviewed
Breckenridge, James N. – Multivariate Behavioral Research, 1989
A Monte Carlo study evaluated the effectiveness of three rules of classifying objects into clusters: nearest neighbor classification; nearest centroid assignment; and quadratic discriminant analysis. Results suggest that the nearest neighbor rule is a useful tool for assessing the validity of the clustering procedure of J. H. Ward (1963). (SLD)
Descriptors: Classification, Cluster Analysis, Cluster Grouping, Discriminant Analysis
Farrell, William T. – 1975
"Classification: Purposes, Principles, Progress, Prospects" by Robert R. Sokal is reprinted in this document. It summarizes the principles of classification and cluster analysis in a manner which is of specific value to the Marine Corps Office of Manpower Utilization. Following the article is a 184 item bibliography on cluster analysis…
Descriptors: Bibliographies, Classification, Cluster Analysis, Cluster Grouping
Peer reviewed Peer reviewed
Terenzini, Patrick T.; And Others – Research in Higher Education, 1980
A methodology developed as an alternative to conventional institutional classification structures, intended to reduce the limitations of those models, is described. Ways in which the methodology can be used for planning, administrative, and research purposes are discussed, as are the dangers in using "peer groups" for institutional…
Descriptors: Classification, Cluster Analysis, Cluster Grouping, College Planning