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Halff, Henry M. – 1975
Graphical methods for evaluating the fit of Johnson's hierarchical clustering schemes are presented together with an example. These evaluation methods examine the extent to which the clustering algorithm can minimize the overlap of the distributions of intracluster and intercluster distances. (Author)
Descriptors: Classification, Cluster Analysis, Cluster Grouping, Graphs
Dubin, Robert; Champoux, Joseph E. – 1970
Dissimilarity Linkage Analysis (DLA) is an extremely simple procedure for developing a typology from empirical attributes that permits the clustering of entities. First the procedure develops a taxonomy of types from empirical attributes possessed by entities in the sample. Second, the procedure assigns entities to one, and only one, type in the…
Descriptors: Classification, Cluster Analysis, Cluster Grouping, Matched Groups

Mcquitty, Louis L.; Frary, Jewel M. – Educational and Psychological Measurement, 1971
Discussion of a method of classification which attempts to use the particular set of indices of association which produce the most reliable and valid solution. (PR)
Descriptors: Classification, Cluster Analysis, Cluster Grouping, Criteria

Shepherd, Michael A.; Phillips, W. J. – Journal of the American Society for Information Science, 1986
Defines relationship between user profile and user query in terms of relationship between clusters of documents retrieved by each, and explores the expression of cluster similarity and cluster overlap as linear functions of similarity existing between original pairs of profiles and queries, given the desired retrieval threshold. (23 references)…
Descriptors: Cluster Analysis, Cluster Grouping, Databases, Equations (Mathematics)
Shafto, Michael – 1972
The purpose of this paper is to suggest a technique of cluster analysis which is similar in aim to the Interactive Intercolumnar Correlation Analysis (IICA), though different in detail. Two methods are proposed for extracting a single bipolar factor (a "contrast compenent") directly from the initial similarities matrix. The advantages of this…
Descriptors: Bibliographies, Classification, Cluster Analysis, Cluster Grouping

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

Small, Henry – Journal of the American Society for Information Science, 1986
Applies a method for generating synopses of scientific fields to a co-citation cluster in field of cancer virology and describes the resulting specialty narrative. Implications of procedure for the cognitive processes involved in reviewing a field are discussed. Appended are lists of highly cited and citing papers. (35 references) (EJS)
Descriptors: Abstracts, Artificial Intelligence, Bibliographic Coupling, Citations (References)
Taylor, John E.; And Others – 1972
The design of a proposed occupational clustering system for the Comprehensive Career Education Model (CCEM) was to meet three general criteria: (1) encompass most existing jobs, (2) translate into an entire K-12 curriculum, and (3) show clear advantages over other systems. However, upon examination of existing clustering systems for relevance and…
Descriptors: Career Development, Career Education, Cluster Analysis, Cluster Grouping