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SIMULATION
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CLUSTERT — A simulation-based expert

Ben Pinkowski

Computer Science Department Western Michigan University

Cluster analysis consists of applying statistical and heuris tic methods in an attempt to discover the group composition of a data set. Users of traditional clustering software often find non-intelligent packages difficult to use because of the many parameters that must be specified before an analysis can begin; these include a distance or similarity metric, a method for stopping group amalgama tion or division, and a particular clustering algorithm. CLUSTERT is an expert system for solving cluster analysis problems that was developed because of this difficulty. Unlike most expert systems, however, CLUSTERT is primarily based on knowledge generated by simulation experiments. The system also provides suggestions and an intelligent environment for conducting additional simulations that may reinforce

Key Words: Cluster analysis, expert systems • Monte Carlo simulation

SIMULATION, Vol. 52, No. 5, 179-185 (1989)
DOI: 10.1177/003754978905200502
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G. V. Merkuryeva and Y. A. Merkuryev
Knowledge Based Simulation Systems - A Review
SIMULATION, February 1, 1994; 62(2): 74 - 89.
[Abstract] [PDF]