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Hubert, Lawrence J. – Psychometrika, 1974
The connection between graph theory and clustering is reviewed and extended. Major emphasis is on restating, in a graph-theoretic context, selected past work in clustering, and conversely, developing alternative strategies from several standard concepts used in graph theory per se. (Author/RC)
Descriptors: Cluster Analysis, Cluster Grouping, Literature Reviews, Statistical Analysis

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

Rogers, Gil; Linden, James D. – Educational and Psychological Measurement, 1973
Descriptors: Classification, Cluster Analysis, Cluster Grouping, Discriminant Analysis

Hubert, Lawrence – Psychometrika, 1973
The present paper discusses two rather different types of partitioning techniques that still have the same property of monotone invariance. (Author)
Descriptors: Algorithms, Cluster Analysis, Cluster Grouping, Goodness of Fit

Krippendorff, Klaus – 1977
Clustering techniques seek to group together objects or variables that share some observed qualities or, alternatively, to partition a set of objects or variables into mutually exclusive classes whose boundaries reflect differences in the observed qualities of their members. This paper reviews the general principles underlying clustering…
Descriptors: Classification, Cluster Analysis, Cluster Grouping, Communication (Thought Transfer)
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
Hall, Charles E. – 1971
A factor rotation scheme is presented which has a property that is interesting for examining factor-structure hypotheses. Given several clusters of tests the orthogonal bounds scheme produces factors which contain these clusters in some optimal sense. (Author)
Descriptors: Cluster Analysis, Cluster Grouping, Correlation, Factor Analysis
Wallace, Danny P. – Library Journal, 1987
The literature of bibliometrics suggests that the results of bibliometric studies can be of practical use in libraries by providing a scientific basis for collection management decisions. Reports on the application of these studies are virtually nonexistent and a number of reasons for this are suggested. (EM)
Descriptors: Bibliometrics, Cluster Analysis, Cluster Grouping, Library Collection Development

Sevin, Jay A.; And Others – Journal of Autism and Developmental Disorders, 1995
A cluster analytic study was conducted to derive behaviorally homogeneous subtypes of pervasive developmental disorders (PDD) based on a range of behavioral symptoms that characterize autism. Analysis of data on 34 children with PDD, 27 of whom met criteria for autism, indicated 4 distinct groups differing on independent measures of social,…
Descriptors: Behavior Patterns, Children, Classification, Cluster Analysis
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

Eckes, Thomas – Personality and Social Psychology Bulletin, 1995
Used a new statistical procedure to examine consensual beliefs about situations common to universities. This approach aims at constructing a joint hierarchical or non-hierarchical classification of situational categories. Results indicate that a psychologically meaningful and methodologically satisfactory representation of the cognitive…
Descriptors: Associative Learning, Behavior, Cluster Analysis, Cluster Grouping