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Critical Phenomena at UQ in 2007
Research Priorities 2007
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Clustering and vector quantization - can we improve on
existing methods for image analysis?
Researchers
- AMSI-MASCOS PhD Scholar (2005 - 2007): Thomas Taimre
Sub-themes
Research Outcomes
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The cross-entropy method was applied to problems in clustering and
vector quantization by first
generating random clusters according to a
specified probability distribution and updating the parameters
of this distribution according to the Kullback–Leibler (cross-entropy)
distance. Near-optimal clusters were generated
for large data sets.
Awards and Achievements
Industry Collaborators
Collaborating Researchers
- Dirk P. Kroese (University of Queensland)
- Reuven Y. Rubinstein (Technion, Haifa)
Highlight Publication
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Kroese, D.P, Rubinstein, R.Y. and T. Taimre (2007) Application of the
Cross-Entropy Method to clustering and vector quantization. Journal of
Global Optimization 37, 137-157.
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