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Willett, Peter – Journal of the American Society for Information Science, 1984
Describes a cluster-based information retrieval procedure that can significantly reduce the computational requirements of the single linkage method, while still maintaining the retrieval effectiveness of the resulting classifications. Use of nearest neighbors, experimental details, and results and conclusions are highlighted. Fourteen references…
Descriptors: Cluster Analysis, Cluster Grouping, Information Retrieval, Relevance (Information Retrieval)
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Minker, Jack; And Others – Journal of the American Society for Information Science, 1973
The objectives of this paper are to describe the effect of using weighted index terms in a document retrieval system, and to evaluate retrieval performance when queries are expanded by terms occurring in clusters with the query terms. (16 references) (Authors)
Descriptors: Cluster Analysis, Evaluation, Information Retrieval, Information Systems
Minker, Jack; And Others – 1972
The objectives of this paper are to describe the effect of using weighted index terms in a document retrieval system, and to evaluate retrieval performance when queries are expanded by terms occurring in clusters with the query terms. Three data collections, each indexed by several methods, two of which were studied and reported on in previous…
Descriptors: Classification, Cluster Analysis, Data Processing, Information Retrieval
Peer reviewed Peer reviewed
Griffiths, Alan; And Others – Journal of the American Society for Information Science, 1986
Reports on comparative study of document classifications produced by use of single linkage, complete linkage, group average, and Ward clustering methods. Findings of work that compares use of clusters consisting of pairs of documents with conventional best match searches are also reported. Thirty-four references are provided. (EJS)
Descriptors: Cluster Analysis, Cluster Grouping, Comparative Analysis, Information Retrieval
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Griffiths, Alan; And Others – Journal of Documentation, 1984
Considers classifications produced by application of single linkage, complete linkage, group average, and word clustering methods to Keen and Cranfield document test collections, and studies structure of hierarchies produced, extent to which methods distort input similarity matrices during classification generation, and retrieval effectiveness…
Descriptors: Algorithms, Classification, Cluster Analysis, Cluster Grouping
Peer reviewed Peer reviewed
Sumner, Robert G., Jr. – Information Processing & Management, 1995
The effectiveness of using the age of references to control the exhaustivity of the reference representation in information retrieval was investigated through analysis of optimal cluster-based retrieval results. The results show that the foreground representation at its optimal level of exhaustivity is restricted to references with ages less than…
Descriptors: Bibliographic Coupling, Bibliographic Databases, Citation Analysis, Citations (References)
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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
Peer reviewed Peer reviewed
Willett, Peter – Information Processing and Management, 1988
Reviews recent research into the use of hierarchic agglomerative clustering methods for document retrieval. The topics discussed include the calculation of interdocument similarities, algorithms used to implement clustering methods on large databases, validity testing of document hierarchies, appropriate search strategies, and other applications…
Descriptors: Algorithms, Bibliometrics, Cluster Analysis, Comparative Analysis
Simon, Hans-Reiner; Thormann, K.-D. – 1986
This report discusses the use of the Science Citation Index produced by the Institute for Scientific Information (ISI) as a given "expert system" in the experimental study of different search levels. The inquiry has two objectives: (1) to test whether a "traditional" information system will also produce the rudiments of a…
Descriptors: Citation Analysis, Citation Indexes, Cluster Analysis, Expert Systems
Peer reviewed Peer reviewed
Bookstein, A.; Klein, S. T.; Raita, T. – Journal of the American Society for Information Science, 1998
Defines the notion of serial clustering of words in text, and explores the value of such clustering as an indicator of a word's bearing content. This approach is flexible in the sense that it is context-sensitive; a numerical approach may also be of value in assigning weights to terms in requests. Experimental support is obtained from natural text…
Descriptors: Cluster Analysis, Cluster Grouping, Information Retrieval, Information Seeking
Salton, Gerald; And Others – 1972
The present report is the twenty-first in a series describing research in information storage and retrieval conducted by the Department of Computer Science at Cornell University. The report covering work carried out by the SMART project for approximately two years (summer 1970 to summer 1972) is separated into five parts: automatic content…
Descriptors: Cluster Analysis, Content Analysis, Feedback, Indexing
Peer reviewed Peer reviewed
Yerkey, A. Neil – Journal of the American Society for Information Science, 1983
This study attempts to analyze descriptors taken from subject categories in ERIC thesaurus and used as search terms on CROSS database Bibliographic Retrieval Services. An expectation ratio was computed and cluster analysis was conducted to discover subject relationships among databases. A list of databases retrieved and 12 references are appended.…
Descriptors: Cluster Analysis, Cluster Grouping, Comparative Analysis, Data Analysis