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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
Murray, Daniel McClure – 1972
A retrieval system is considered in which document descriptions are stored and accessed in groups called clusters. All items in a cluster meet common similarity criteria and are represented by a composite entity called a profile. In large collections, profiles themselves are clustered and additional levels of profiles are generated. This entire…
Descriptors: Cluster Grouping, Doctoral Dissertations, Documentation, Information Retrieval
Peer reviewed Peer reviewed
Croft, W. Bruce – Journal of the American Society for Information Science, 1979
Describes ways of using Boolean questions with a clustered information file, and reviews an experiment studying the effect of such a retrieval method. (FM)
Descriptors: Cluster Grouping, Information Retrieval, Information Storage, Information 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
Peer reviewed Peer reviewed
Nomoto, Tadashi; Matsumoto, Yuji – Information Processing & Management, 2003
Introduces a novel approach to unsupervised text summarization. Proposes an "information-centric" approach to evaluation, where the quality of summaries is judged not in terms of how well they match human-created summaries but in terms of how well they represent their source documents in information retrieval tasks such as document…
Descriptors: Cluster Analysis, Cluster Grouping, Electronic Text, Evaluation Methods
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
SALTON, GERALD – 1967
THE TWELFTH IN A SERIES COVERING RESEARCH IN AUTOMATIC STORAGE AND RETRIEVAL, THIS REPORT IS DIVIDED INTO THREE PARTS TITLED EVALUATION, CLUSTER SEARCHING, AND USER FEEDBACK METHODS, RESPECTIVELY. THE FIRST PART, EVALUATION, CONTAINS A COMPLETE SUMMARY OF THE RETRIEVAL RESULTS DERIVED FROM SOME SIXTY DIFFERENT TEXT ANALYSIS EXPERIMENTS. IN EACH…
Descriptors: Cluster Grouping, Computational Linguistics, Correlation, Evaluation Methods