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Milligan, Glenn W. – Multivariate Behavioral Research, 1989
Simulated test data (N=864 artificial data sets) with four different error conditions were used to study the recovery characteristics of the beta-flexible clustering method. Conditions under which the beta-flexible method provides good recovery are discussed. (SLD)
Descriptors: Classification, Cluster Analysis, Cluster Grouping, Simulation

Peay, Edmund R. – Psychometrika, 1975
Peay presented a class of grouping methods based on the concept of the r-clique for symmetric data relationships. The concepts of the r-clique can be generalized readily to directed (or asymmetric) relationships, and groupings based on this generalization may be found conveniently using an adoption of Peay's methodology. (Author/BJG)
Descriptors: Classification, Cluster Analysis, Cluster Grouping, Mathematical Models

Yu, Clement T. – Journal of the American Society for Information Science, 1974
A clustering algorithm which is tree-like in structure, and is based on user queries, is presented. It is compared to some existing algorithms and is found to be superior. (Author)
Descriptors: Algorithms, Classification, Cluster Analysis, Cluster Grouping

Ritchie, J. R. Brent – Journal of Leisure Research, 1975
This paper describes an attempt to derive an empiracally based method for the classification of leisure activities. (RC)
Descriptors: Classification, Cluster Analysis, Cluster Grouping, Leisure Time

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

Yu, C. T. – Journal of the American Society for Information Science, 1976
A measure for the quantification of the changes in classification under small changes in data is proposed. (Author)
Descriptors: Classification, Cluster Analysis, Cluster Grouping, Information Retrieval

Guertin, Wilson H. – Educational and Psychological Measurement, 1971
Descriptors: Classification, Cluster Analysis, Cluster Grouping, Factor Analysis
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

Arnold, Barry C. – Psychometrika, 1975
Frender and Doubilet suggest that Bousfield's ratio of repetitions (RR) is the best measure of clustering in free recall presently available. Conditioning only on the number of words recalled, they determine the mean of RR in the absence of clustering. In this note the null variance of RR is presented. (Author)
Descriptors: Behavioral Science Research, Classification, Cluster Analysis, Cluster Grouping
Hubert, Lawrence; Schultz, James – 1975
An empirical assesssment of the space distortion properties of two prototypic hierarchical clustering procedures is given in terms of an occupancy model developed from combinatorics. Using one simple example, the single-link and complete-link clustering strategies now in common use in the behavioral sciences are empirically shown to be space…
Descriptors: Behavioral Sciences, Classification, Cluster Analysis, Cluster Grouping

Rogers, Gil; Linden, James D. – Educational and Psychological Measurement, 1973
Descriptors: Classification, Cluster Analysis, Cluster Grouping, Discriminant Analysis
Keat, Donald B., II; Hackman, Roy B. – Measurement and Evaluation in Guidance, 1972
Individuals were grouped into person clusters on the basis of the similarity of their inventory profiles. In any particular profile cluster, homogeneous groups (by curriculum areas) of individuals tend to group into attraction patterns (presence in profile cluster) and avoidance patterns (absence from profile cluster). (Author)
Descriptors: Classification, Cluster Analysis, Cluster Grouping, College Students

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
Cunningham, J. W.; And Others – 1974
The study explored the feasibility of deriving an educationally relevant occupational cluster structure based on Occupational Analysis Inventory (OAI) work dimensions. A hierarchical cluster analysis was applied to the factor score profiles of 814 occupations on 22 higher-order OAI work dimensions. From that analysis, 73 occupational clusters were…
Descriptors: Classification, Cluster Analysis, Cluster Grouping, Literature Reviews

Suziedelis, Antanas; And Others – Multivariate Behavioral Research, 1976
A method of typological analysis was applied to computer-generated 96-item questionnaire data for 100 cases, under a variety of conditions to analyze both the item-level and score-level. The results showed a considerable advantage of score-level approach in the number, size, and replicability of clusters recovered. (DEP)
Descriptors: Classification, Cluster Analysis, Cluster Grouping, Comparative Analysis