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Feinman, R. D.; Kwok, K. L. – Journal of the American Society for Information Science, 1973
A study was undertaken to classify mechanically a document collection using the free-language words in titles and abstracts of physics research papers. Using a clustering algorithm, results were obtained which closely duplicated clusters obtained by previous experiments with citations. A brief comparison is made with a traditional manual…
Descriptors: Algorithms, Classification, Cluster Analysis, Databases
Peer reviewed Peer reviewed
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
Deogun, Jitender S.; Choubey, Suresh K.; Raghavan, Vijay V.; Sever, Hayri – Journal of the American Society for Information Science, 1998
Develops and analyzes four algorithms for feature selection in the context of rough set methodology. Experimental results confirm the expected relationship between the time complexity of these algorithms and the classification accuracy of the resulting upper classifiers. When compared, results of upper classifiers perform better than lower…
Descriptors: Algorithms, Classification, Computation, Data Analysis
Peer reviewed Peer reviewed
Orwig, Richard E.; Chen, Hsinchun; Nunamaker, Jay F., Jr. – Journal of the American Society for Information Science, 1997
Describes research using an artificial intelligence approach in the application of a Kohonen Self-Organizing Map (SOM) to the problem of classification of electronic brainstorming output and an evaluation of the results. The graphical representation of textual data produced by the Kohonen SOM suggests many opportunities for improving information…
Descriptors: Algorithms, Artificial Intelligence, Brainstorming, Classification