Clustering Large Categorical Data

This publication has 7 references indexed in Scilit:

• Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values
  Data Mining and Knowledge Discovery, 1998
• Comparison of the mixture and the classification maximum likelihood in cluster analysis with binary data
  Computational Statistics & Data Analysis, 1996
• A conceptual version of the K-means algorithm
  Pattern Recognition Letters, 1995
• A classification EM algorithm for clustering and two stochastic versions
  Computational Statistics & Data Analysis, 1992
• Mixture Models: Inference and Applications to Clustering.
  Journal of the Royal Statistical Society Series C: Applied Statistics, 1989
• An Introduction to Latent Variable Models
  1984
• Maximum Likelihood from Incomplete Data Via the EM Algorithm
  Journal of the Royal Statistical Society Series B: Statistical Methodology, 1977