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Spence, Ian – Psychometrika, 1974
Comments on P. Arabie's article, "Concerning Monte Carlo Evaluations of Nonmetric Multidimensional Scaling Algorithms.", Psychometrika, 1973, 38, 607-8. (RC)
Descriptors: Algorithms, Evaluation, Multidimensional Scaling
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Croft, W. B.; Van Rijsbergen, C. J. – Information Processing and Management, 1976
The indirect retrieval method proposed by Goffman is outlined and some similarities to other retrieval methods are indicated. The method is then evaluated and the results are compared with those obtained on the same document collection with cluster-based retrieval using single-link clustering. (Author)
Descriptors: Algorithms, Evaluation, Information Retrieval
Peer reviewed Peer reviewed
Cody, Roger – Journal of the American Society for Information Science, 1973
Presented is an empirical confirmation of clustering behavior that has been proposed as a conjecture in the literature; namely, that document ordering is more significant in an algorithm using a full document space search, rather than a search of just unclustered documents, each time a density test is performed. (4 references) (Author)
Descriptors: Algorithms, Cluster Analysis, Documentation
Peer reviewed Peer reviewed
Leeuw, Jan De – Psychometrika, 1982
A formula for the determinant of a partitioned matrix, possibly with singular submatrices, is derived and applied to some psychometric and numerical problems. (Author)
Descriptors: Algorithms, Matrices, Statistical Studies
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Bassiouni, Mostafa A.; Mukherjee, Amar – Journal of the American Society for Information Science, 1995
Discusses the problem of enhancing the speed of Huffman decoding of compressed data. Topics addressed include the Huffman decoding tree; multibit decoding; binary string mapping problems; and algorithms for solving mapping problems. (22 references) (LRW)
Descriptors: Algorithms, Coding, Research Needs
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Corter, James E. – Multivariate Behavioral Research, 1998
Describes a new combinatorial algorithm for fitting additive trees to proximity data. This generalized triples method examines all triples of objects of interest in relation to the remaining set of objects to be clustered. The procedure is illustrated, and a simulation study shows its advantages. (SLD)
Descriptors: Algorithms, Simulation, Statistical Analysis
Peer reviewed Peer reviewed
Enders, Craig K. – Structural Equation Modeling, 2001
Provides a comprehensive, nontechnical overview of the three maximum likelihood algorithms available for use with missing data and discusses multiple imputation, frequently used in conjunction with the EM algorithm. (SLD)
Descriptors: Algorithms, Maximum Likelihood Statistics
Kamynin, S. S.; Lyubimskii, E. Z. – 1969
The document describes the ALMO programing language. (Author)
Descriptors: Algorithms, Programing Languages, Standards, Syntax
Peer reviewed Peer reviewed
Radhakrishnan, T.; Venkatesh, K. – Journal of the American Society for Information Science, 1978
An earlier model which proposed to determine the optimum number of shelves to minimize shelving cost of a book collection does not always yield optimal value. Underlying assumptions from this earlier model, which aren't always practical, are discussed, and algorithms providing a better solution for the same problem are presented. (Author)
Descriptors: Algorithms, Books, Diagrams, Libraries
Horabin, Ivan S.; Lewis, Brian N. – Improving Human Performance Quarterly, 1977
Historical review of the development and dissemination of ordinary-language algorithms. (STS)
Descriptors: Algorithms, Educational Development, History, Instruction
Tiemann, Philip W. – Improving Human Performance Quarterly, 1977
Early analysis sought to identify tasks while recent techniques focus upon analysis of the content of tasks and are more prescriptive. Examples of such analysis appropriate to sequential tasks, one behavior chain task and one algorithm task, are presented to illustrate the prescriptive function of content analysis. (Author)
Descriptors: Algorithms, Educational Development, Task Analysis
Peer reviewed Peer reviewed
Goyal, Pankaj – Journal of the American Society for Information Science, 1984
Investigates techniques for automatic coding of English language strings which involve titles drawn from bibliographic files, but do not require prior knowledge of source. Coding methods (basic, maximum entropy principle), results of test using 6,260 titles from British National Bibliography, and variations in code element ordering are…
Descriptors: Algorithms, Information Retrieval, Search Strategies
Peer reviewed Peer reviewed
Wright, William R. – Journal of the American Society for Information Science, 1972
Descriptors: Algorithms, Computer Programs, Correlation, Documentation
Mason, Robert M. – J Res Mus Educ, 1969
Descriptors: Algorithms, Harmony (Music), Music Theory
Peer reviewed Peer reviewed
Lowe, Thomas – Journal of the American Society for Information Science, 1971
Frequently it is useful to abbreviate or otherwise transform keys used for information retrieval. Given a transformation algorithm and data to be transformed, certain qualities of the algorithm relating to retrieval problems can be characterized. This paper gives some measures of effectiveness of such transformation algorithms. (11 references)…
Descriptors: Algorithms, Information Retrieval, Search Strategies
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