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Yu, Clement T. – Journal of the American Society for Information Science, 1974
A clustering algorithm which is tree-like in structure, and is based on user queries, is presented. It is compared to some existing algorithms and is found to be superior. (Author)
Descriptors: Algorithms, Classification, Cluster Analysis, Cluster Grouping
Peer reviewed Peer reviewed
Carpenter, Mark P.; Narin, Francis – Journal of the American Society for Information Science, 1973
A cluster analysis procedure is described in which 288 journals in the disciplines of physics, chemistry and molecular biology are grouped into clusters. Tabulation of citings to and from each journal processed provides the basis for clustering. (18 references) (Author/RS)
Descriptors: Chemistry, Classification, Cluster Grouping, Periodicals
Peer reviewed Peer reviewed
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
Peer reviewed Peer reviewed
Bookstein, Abraham; Swanson, Don R. – Journal of the American Society for Information Science, 1974
Descriptors: Automatic Indexing, Cluster Grouping, Indexes, Information Retrieval
Peer reviewed Peer reviewed
Sachs, Wladimir – Journal of the American Society for Information Science, 1976
The theory of fuzzy sets is used to provide a rigorous formulation of the problem of associative retrieval. This formulation suggests the idea of using fuzzy clustering to organize data for retrieval. (Author)
Descriptors: Cluster Grouping, Information Retrieval, Mathematical Models, Relevance (Information Retrieval)
Peer reviewed Peer reviewed
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)
Peer reviewed Peer reviewed
Swanson, Rowena W. – Journal of the American Society for Information Science, 1973
An important factor to be considered in applying clustering techniques to information storage and retrieval problems is the use to be made of the resultant groupings. An examination of cluster criteria differentiation as a function of purpose may be fruitful in the exploitation of clustering techniques. (12 references) (Author/KE)
Descriptors: Classification, Cluster Grouping, Information Retrieval, Information Science
Peer reviewed Peer reviewed
Harding, Alan F.; Willett, Peter – Journal of the American Society for Information Science, 1980
Demonstrates that the process of comparing each document in an automated system with all others during the classification procedure may be avoided by the use of an inverted file. (FM)
Descriptors: Automatic Indexing, Classification, Cluster Grouping, Information Retrieval
Peer reviewed Peer reviewed
Persson, Olle – Journal of the American Society for Information Science, 1994
Describes results of a citation analysis of 209 articles from the "Journal of the American Society for Information Science" (JASIS) that was conducted to determine the intellectual base and the research front. Topics discussed include citation-based mapping techniques, including bibliographic coupling and cocitation analysis; and…
Descriptors: Authors, Citation Analysis, Cluster Grouping, Information Science
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
Thom, James A.; Zobel, Justin – Journal of the American Society for Information Science, 1992
Discusses models for the distribution of words in text and proposes a new model based on clustering that can be used to estimate the probability that a document contains a particular word as well as the number of distinct words in a document. Zipf's law and the Poisson approximation are also discussed. (18 references) (LRW)
Descriptors: Cluster Grouping, Mathematical Formulas, Models, Probability
Peer reviewed Peer reviewed
Brooks, Terrence A. – Journal of the American Society for Information Science, 1990
Describes a study in which comprehensive bibliographies and related literatures were compared by clustering indices, Bradford multipliers, bibliograph slopes, and reference scattering coefficients. It is concluded that the clustering index has the potential for being a useful tool in comparing the intensity of clustering of different literatures.…
Descriptors: Authors, Bibliometrics, Cluster Grouping, Cohort Analysis
Peer reviewed Peer reviewed
French, James C.; Powell, Allison L.; Schulman, Eric – Journal of the American Society for Information Science, 2000
Discussion of quality control of data in online bibliographic databases focuses on authority files. Describes approximate string matching, introduces the concept of approximate word matching and clustering, and presents a case study using the Astrophysics Data System (ADS) that shows how to reduce human effort involved in authority work. (LRW)
Descriptors: Authority Control (Information), Bibliographic Databases, Case Studies, Cluster Grouping
Peer reviewed Peer reviewed
Logan, Elisabeth L.; Shaw, W. M., Jr. – Journal of the American Society for Information Science, 1987
The role of the coauthor relationship in the structure of informal communications networks within disciplines is explored, and the validity of coauthor graphs used to map these relationships is tested for both small and large databases. (CLB)
Descriptors: Authors, Bibliometrics, Cluster Grouping, Cooperation
Peer reviewed Peer reviewed
Bayer, Alan E.; And Others – Journal of the American Society for Information Science, 1990
Discusses the intellectual structure of the sciences and describes a study that was conducted to test the usefulness of author cocitation analysis for empirically deriving groupings of intellectual leaders in the field of sociology. Results are contrasted with traditional subjective methods of codification of a field. (35 references) (LRW)
Descriptors: Authors, Citation Analysis, Cluster Grouping, Codification
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