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Crouch, Donald B. – Information Processing and Management, 1975
Describes a clustering algorithm designed for dynamic data bases and presents an update procedure which maintains an effective document classification without reclustering. The effectiveness of the algorithms is demonstrated for a subset of the Cranfield collection. (Author)
Descriptors: Automatic Indexing, Cluster Grouping, Databases, Information Retrieval
Bureau of the Census (DOC), Suitland, MD. Population Div. – 1971
This index was developed primarily to define the industrial and occupational classification systems adopted for the 1970 Census of Population. For each category in the classification systems it presents the individual titles constituting the particular category. Approximately 19,000 industry and 23,000 occupation titles are included. These titles…
Descriptors: Classification, Cluster Grouping, Codification, Indexes

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

Harvey, Robert J. – Personnel Psychology, 1986
Addresses selecting among and using the numerous quantitative job classification procedures, with a focus on the decision-making tasks and practical difficulties that confront users of each. (Author/ABB)
Descriptors: Classification, Cluster Grouping, Decision Making, Job Analysis

Murtagh, F. – Information Processing and Management, 1984
Using examples of data from the areas of information retrieval and of multivariate data analysis, six hierarchic clustering algorithms (single link, median, centroid, group average, complete link, Wards's) are examined and evaluated by using three proposed coefficients of hierarchic structure. Nine references are cited. (EJS)
Descriptors: Algorithms, Cluster Analysis, Cluster Grouping, Data Analysis

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

So, Tak-Shing Harry; Peng, Chao-Ying Joanne – 2002
This study compared the accuracy of predicting two-group membership obtained from K-means clustering with those derived from linear probability modeling, linear discriminant function, and logistic regression under various data properties. Multivariate normally distributed populations were simulated based on combinations of population proportions,…
Descriptors: Cluster Grouping, Group Membership, Prediction, Probability

Henschke, C. I.; Chen, M. M. – Journal of Educational and Psychological Measurement, 1974
Descriptors: Classification, Cluster Grouping, Multiple Regression Analysis, Selection
Educational Documentation and Information, 1972
ISDED, designed as an international classification system but adaptable to national systems, is an inter-departmental project of Unesco administered by the Office of Statistics. A three stage, five digit system by level, field and programme, ISCED consists of over 450 categories of education with their respective definitions. (JB)
Descriptors: Classification, Cluster Grouping, Codification, Educational Development
Thompson, Charles P.; And Others – Journal of Experimental Psychology, 1972
Results indicated that Ss demonstrating a high degree of clustering recalled more than Ss demonstrating a low degree of clustering. (Authors)
Descriptors: Classification, Cluster Grouping, Data Analysis, Psychological Studies
Gerson, Gordon M. – Information Storage and Retrieval, 1972
Patents are clustered by similar cited-by" patterns using MacQueen's algorithm. The clusters are enriched by the addition of citing patents. These maximally connected clusters, or cliques, form the classification. (27 references) (Author)
Descriptors: Classification, Cluster Grouping, Computers, Information Retrieval

Guertin, Wilson H. – Educational and Psychological Measurement, 1971
Descriptors: Classification, Cluster Analysis, Cluster Grouping, Factor Analysis
McQuitty, Louis L. – Educ Psychol Meas, 1970
A method is described for bifurcating a matrix of objects into two submatrices such that the sum of average deviations of the members from the central tendencies of the two submatrices is minimized. Illustrations of the procedure are included. (DG)
Descriptors: Classification, Cluster Grouping, Groups, Organization
Begley, Carl E.; and others – J Clin Psychol, 1970
The results of a questionnaire suggested that therapists and patients do not view therapy within the same frame of reference. (CK)
Descriptors: Attitudes, Cluster Grouping, Item Analysis, Patients
van Rijsbergen, C. J. – Drexel Library Quarterly, 1978
Addresses the application of automatic classification methods to the problems associated with computerized document retrieval. Different kinds of classifications are described, and both document and term clustering methods are discussed. References and notes are provided. (Author/JD)
Descriptors: Cluster Grouping, Essays, Information Retrieval, Problems