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Mather, Laura A. – Journal of the American Society for Information Science, 2000
Discussion of models for information retrieval focuses on an application of linear algebra to text clustering, namely, a metric for measuring cluster quality based on the theory that cluster quality is proportional to the number of terms that are disjoint across the clusters. Explains term-document matrices and clustering algorithms. (Author/LRW)
Descriptors: Algorithms, Cluster Analysis, Information Retrieval, Mathematical Formulas
Peer reviewed Peer reviewed
Sheather, Graeme; Nolan, Tony – Australian Library Journal, 1995
Describes the application of the General Purpose Utility Problem-Solving technique that was developed at the University of Technology, Sydney, to the problem experienced by a satellite university campus library where there were periodic shelving backlogs. Highlights include cluster methods, total quality management applications, and the use of…
Descriptors: Academic Libraries, Branch Libraries, Case Studies, Cluster Analysis