Monte Carlo comparisons of selected clustering procedures

@article{Bayne1980MonteCC,
  title={Monte Carlo comparisons of selected clustering procedures},
  author={Charles K. Bayne and John J. Beauchamp and Connie L. Begovich and Victor E. Kane},
  journal={Pattern Recognit.},
  year={1980},
  volume={12},
  pages={51-62}
}
  • Charles K. Bayne, John J. Beauchamp, +1 author Victor E. Kane
  • Published in Pattern Recognit. 1980
  • Computer Science, Mathematics
  • Abstract Monte Carlo methods were used to estimate the percent misclassification of 13 clustering methods for six types of parameterizations of two bivariate normal populations. The clustering methods were compared by using the probabilities of misclassification and incidence matrices. It was determined that correlations and differences in population sizes adversely influenced all clustering methods, where differences in the variance structure did not appreciably affect the results. The k… CONTINUE READING

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