Elements of simulation
Efficient Implementation of the Fuzzy c-Means Clustering Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Monte Carlo comparison of six hierarchical clustering methods on random data
Pattern Recognition
ANSS '87 Proceedings of the 20th annual symposium on Simulation
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A single linkage clustering algorithm adapted for points distributed over time (SLOT) is used to recover clusters from coplanar points associated with time parameters. Cluster number and shape determine separability and hence effectiveness of the algorithm. Performance in simulation experiments also depended on the probability of recording cluster points. SLOT links points observed at different times if they are within some limiting distance, and the distance parameter becomes critical when detectability is low. Performance comparisons are made with other algorithms, and results are presented in the context of a rule-based expert system for solving problems involving cluster analysis of time-dependent spatial patterns.