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Structure of Hierarchic Clusterings: Implications for Information Retrieval and for Multivariate Data Analysis.
Peer reviewed Peer reviewed
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
Aspects and the Overlap Function.
Peer reviewed Peer reviewed
Levine, Marilyn M.; Levine, Leonard P. – Information Processing and Management, 1984
Presents system for automatic handling of ordered sets, states based on these sets, and differing points of view regarding Universe of Discourse. Aspects are represented by new logical "overlap" function with examples taken from Ranganathan's horse and carriage parable and several books involving four main concepts (history, geography,…
Descriptors: Cluster Analysis, Cluster Grouping, Diagrams, Information Retrieval
Applications of Clustering to Information System Design.
Peer reviewed Peer reviewed
Stanfel, Larry E. – Information Processing and Management, 1983
Describes methods for effecting the partition of information systems consisting of many components and interconnections into subsystems which are later made to interface with one another achieving an overall system. Clustering algorithms for the specific case of information systems are obtained and exemplified. Twenty-seven references are…
Descriptors: Algorithms, Cluster Analysis, Cluster Grouping, Design Requirements
One Approach to Classification of Users and Automatic Clustering of Documents.
Peer reviewed Peer reviewed
Frants, Valery I.; And Others – Information Processing and Management, 1993
Shows how to automatically construct a classification of users and a clustering of documents and cross-references among clusters based on users' information needs. Feedback in the construction of this classification and clustering that allows for the classification to be changed to reflect changing needs of users is also described. (22 references)…
Descriptors: Classification, Cluster Analysis, Cluster Grouping, Expert Systems
Controlled and Uncontrolled Subject Descriptions in the CF Database: A Comparison of Optimal Cluster-Based Retrieval Results.
Peer reviewed Peer reviewed
Shaw, W. M., Jr. – Information Processing and Management, 1993
Describes a study conducted on the cystic fibrosis (CF) database, a subset of MEDLINE, that investigated clustering structure and the effectiveness of cluster-based retrieval as a function of the exhaustivity of the uncontrolled subject descriptions. Results are compared to calculations for controlled descriptions based on Medical Subject Headings…
Descriptors: Bibliographic Records, Cluster Analysis, Cluster Grouping, Comparative Analysis
An Experiment in Automatic Hierarchical Document Classification.
Peer reviewed Peer reviewed
Garland, Kathleen – Information Processing and Management, 1983
Describes method of automatic document classification in which documents classed as QA by Library of Congress classification system were clustered at six thresholds by keyword using single link technique. Automatically generated clusters were compared to Library of Congress subclasses, and partial classified hierarchy was formed. Twelve references…
Descriptors: Automation, Cataloging, Classification, Cluster Analysis