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Murtagh, F. – Information Processing and Management, 1984
Using examples of data from the areas of information retrieval and of multivariate data analysis, six hierarchic clustering algorithms (single link, median, centroid, group average, complete link, Wards's) are examined and evaluated by using three proposed coefficients of hierarchic structure. Nine references are cited. (EJS)
Descriptors: Algorithms, Cluster Analysis, Cluster Grouping, Data Analysis

Kamel, M.; And Others – Information Processing and Management, 1990
Discusses the problem of processing fuzzy queries in databases and information retrieval systems and presents a prototype of a fuzzy query processing system for databases that is based on data clustering and uses Pascal programing language. Clustering schemes are explained, and the system architecture that uses natural language is described. (14…
Descriptors: Algorithms, Cluster Grouping, Computer System Design, Databases

Tanaka, Hideki; Kumano, Tadashi; Uratani, Noriyoshi; Ehara, Terumasa – Information Processing & Management, 1999
Presents a document-clustering algorithm that uses a term frequency vector for each document in a Japanese collection to produce a hierarchy in the form of a document classification tree. Introduces an application of this algorithm to a Japanese-to-English translation-aid system. (Author/LRW)
Descriptors: Algorithms, Cluster Grouping, Japanese, Structural Analysis (Linguistics)

Rasmussen, Edie M.; And Others – Information Processing and Management, 1991
This issue contains nine articles that provide an overview of trends and research in parallel information retrieval. Topics discussed include network design for text searching; the Connection Machine System; PThomas, an adaptive information retrieval system on the Connection Machine; algorithms for document clustering; and system architecture for…
Descriptors: Algorithms, Cluster Grouping, Computer Networks, Computer System Design

Johnson, Andrew; Fotouhi, Farshad – Information Systems, 1996
Discussion of hypermedia systems focuses on a comparison of two types of adaptive algorithm (genetic algorithm and neural network) in clustering hypermedia documents. These clusters allow the user to index into the nodes to find needed information more quickly, since clustering is "personalized" based on the user's paths rather than…
Descriptors: Algorithms, Cluster Grouping, Comparative Analysis, Electronic Text

Boley, Daniel; Gini, Maria; Hastings, Kyle; Mobasher, Bamshad; Moore, Jerry – Internet Research, 1998
Describes WebACE, the architecture of a client-side agent that explores and classifies Web documents in clusters automatically and discusses the details of the algorithms within its key components. Highlights principal direction divisive partitioning (PDDP), a scalable hierarchical clustering algorithm; compares it to other clustering methods; and…
Descriptors: Algorithms, Automation, Classification, Cluster Grouping
Rosenberg, Jason B.; Borgman, Christine L. – Proceedings of the ASIS Annual Meeting, 1992
Discusses the Science Library Catalog, an online catalog intended for use by children at the Los Angeles Public Library, and describes the process of reorganizing the MARC-based database by using clustering algorithms to extend the Dewey Decimal Classification. Examples of screen displays are included. (18 references) (LRW)
Descriptors: Algorithms, Bibliographic Databases, Children, Childrens Libraries