Jeroen K Vermunt

Summary

Affiliation: Tilburg University
Country: The Netherlands

Publications

  1. ncbi Latent class and finite mixture models for multilevel data sets
    Jeroen K Vermunt
    Department of Methodology and Statistics, Tilburg University, Tilburg, The Netherlands
    Stat Methods Med Res 17:33-51. 2008
  2. ncbi K-means may perform as well as mixture model clustering but may also be much worse: comment on Steinley and Brusco (2011)
    Jeroen K Vermunt
    Department of Methodology and Statistics, Tilburg University, P O Box 90153, Tilburg, The Netherlands
    Psychol Methods 16:82-8; discussion 89-92. 2011

Detail Information

Publications2

  1. ncbi Latent class and finite mixture models for multilevel data sets
    Jeroen K Vermunt
    Department of Methodology and Statistics, Tilburg University, Tilburg, The Netherlands
    Stat Methods Med Res 17:33-51. 2008
    ..The appendix describes an adapted version of the expectation-maximization algorithm that can be used for maximum likelihood estimation, as well as providing setups for estimating the multilevel LC model with generally available software...
  2. ncbi K-means may perform as well as mixture model clustering but may also be much worse: comment on Steinley and Brusco (2011)
    Jeroen K Vermunt
    Department of Methodology and Statistics, Tilburg University, P O Box 90153, Tilburg, The Netherlands
    Psychol Methods 16:82-8; discussion 89-92. 2011
    ..Moreover, I show that KM is equivalent to a restricted mixture model estimated by maximizing the classification likelihood and comment on Steinley and Brusco's recommendation regarding the use of mixture models for clustering...