1400 search results - page 51 / 280 » Bayesian hierarchical clustering |
159
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AAAI
1998
15 years 7 months ago
1998
This paperconsidersthe problem of representingcomplex systems that evolve stochastically over time. Dynamic Bayesian networks provide a compact representation for stochastic proce...
145
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PKDD
2009
Springer
16 years 5 days ago
2009
Springer
Co-clustering has emerged as an important technique for mining contingency data matrices. However, almost all existing coclustering algorithms are hard partitioning, assigning each...
150
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JMLR
2010
15 years 12 days ago
2010
Prior distributions play a crucial role in Bayesian approaches to clustering. Two commonly-used prior distributions are the Dirichlet and Pitman-Yor processes. In this paper, we i...
158
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EGPGV
2004
Springer
15 years 11 months ago
2004
Springer
Data coming from complex simulation models reach easily dimensions much greater than available computational resources. Visualization of such data still represents the most intuit...
162
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ICDM
2007
IEEE
15 years 12 months ago
2007
IEEE
Text clustering is most commonly treated as a fully automated task without user supervision. However, we can improve clustering performance using supervision in the form of pairwi...