Unsupervised Learning without Overfitting: Empirical Risk Approximation as an Induction Principle for Reliable Clustering

This publication has 7 references indexed in Scilit:

• Empirical quantizer design in the presence of source noise or channel noise
  IEEE Transactions on Information Theory, 1997
• A Probabilistic Theory of Pattern Recognition
  Published by Springer Nature ,1996
• Weak Convergence and Empirical Processes
  Published by Springer Nature ,1996
• The Nature of Statistical Learning Theory
  Published by Springer Nature ,1995
• Vector quantization with complexity costs
  IEEE Transactions on Information Theory, 1993
• Statistical mechanics and phase transitions in clustering
  Physical Review Letters, 1990
• Quantization and the method ofk-means
  IEEE Transactions on Information Theory, 1982