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Hirschman, Lynette; And Others – Information Processing and Management, 1975
Describes an automatic procedure which uses the syntactic relations as the basis for grouping words into classes. It forms classes by grouping together nouns that occur as subject (or object) of the same verbs, and similarly by grouping together verbs occurring with the same subject or object. (Author)
Descriptors: Classification, Cluster Grouping, Computational Linguistics

Kwok, K. L. – Information Processing and Management, 1975
Descriptors: Citations (References), Classification, Cluster Grouping, Library Automation

Boreham, Jillian; Niblett, Bryan – Information Processing and Management, 1976
A suite of computer programs has been developed for representing the full text of lengthy documents in vector form and classifying them by a clustering method. (Author)
Descriptors: Classification, Cluster Grouping, Computer Programs, Information Retrieval

Shaw, W. M., Jr. – Information Processing and Management, 1990
Investigates the presence of clustering structure in a document collection and the influence of the presence of clustering structure on the success of cluster-based retrieval. Term-weight and similarity thresholds are discussed, empirical and statistical significance are considered, and indexing exhaustivity for document representation is…
Descriptors: Cluster Grouping, Documentation, Indexing, Information Retrieval

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

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

Kamel, M.; And Others – Information Processing and Management, 1990
Discusses the problem of processing fuzzy queries in databases and information retrieval systems and presents a prototype of a fuzzy query processing system for databases that is based on data clustering and uses Pascal programing language. Clustering schemes are explained, and the system architecture that uses natural language is described. (14…
Descriptors: Algorithms, Cluster Grouping, Computer System Design, Databases

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

Attar, Rony; Fraenkel, Aviezri S. – Information Processing and Management, 1981
Describes a method of iterative searching that uses local metrical clustering in the formulation of additional searches by producing searchonyms, terms which are synonymous to keywords in the context of a single query. The method was applied to a database containing Hebrew and Aramaic text. Seven references are listed. (FM)
Descriptors: Bibliographies, Cluster Grouping, Information Retrieval, Keywords

Rasmussen, Edie M.; And Others – Information Processing and Management, 1991
This issue contains nine articles that provide an overview of trends and research in parallel information retrieval. Topics discussed include network design for text searching; the Connection Machine System; PThomas, an adaptive information retrieval system on the Connection Machine; algorithms for document clustering; and system architecture for…
Descriptors: Algorithms, Cluster Grouping, Computer Networks, Computer System Design

Van Rijsbergen, C. J.; Croft, W. B. – Information Processing and Management, 1975
The single-link cluster method is used to construct a hierarchic classification for the 1400 documents in the Cranfield test collection. A variety of retrieval strategies applied to this hierarchy are evaluated in terms of effectiveness and efficiency. (Author)
Descriptors: Classification, Cluster Grouping, Efficiency, Information Retrieval

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

van Rijsbergen, C. J.; And Others – Information Processing and Management, 1981
Describes the use of relevance feedback to select additional search terms and discusses the extraction of these terms from a maximum spanning tree connecting all terms in the index term vocabulary; retrieval effectiveness for different spanning trees is shown to be similar. Eight references are included. (Author/BK)
Descriptors: Cluster Grouping, Feedback, Information Retrieval, Mathematical Formulas

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

White, Howard D.; Griffith, Belver C. – Information Processing and Management, 1987
Describes study that compared and judged the quality of subject indexing in online bibliographic databases. Documents from medical behavioral science literature are used with terms drawn from MEDLINE, PsychINFO, BIOSIS, and Excerpta Medica. Comparative statistics are presented on how each database links related documents and discriminates among…
Descriptors: Behavioral Sciences, Citation Analysis, Cluster Grouping, Comparative Analysis
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