A probabilistic framework for optimizing projected clusters with categorical attributes

  • Lifei Chen
  • Published 2014 in Science China Information Sciences

Abstract

The ability to discover projected clusters in high-dimensional data is essential for many machinelearning applications. Projective clustering of categorical data is currently a challenge due to the difficultiesin learning adaptive weights for categorical attributes coordinating with clusters optimization. In this paper,a probability-based learning framework… (More)
DOI: 10.1007/s11432-014-5267-5

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