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» Distributed Data Clustering Can Be Efficient and Exact
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KDD
2007
ACM
152views Data Mining» more  KDD 2007»
14 years 8 months ago
Efficient incremental constrained clustering
Clustering with constraints is an emerging area of data mining research. However, most work assumes that the constraints are given as one large batch. In this paper we explore the...
Ian Davidson, S. S. Ravi, Martin Ester
ICDM
2010
IEEE
200views Data Mining» more  ICDM 2010»
13 years 5 months ago
Bayesian Maximum Margin Clustering
Abstract--Most well-known discriminative clustering models, such as spectral clustering (SC) and maximum margin clustering (MMC), are non-Bayesian. Moreover, they merely considered...
Bo Dai, Baogang Hu, Gang Niu
RECOMB
2003
Springer
14 years 8 months ago
Optimizing exact genetic linkage computations
Genetic linkage analysis is a challenging application which requires Bayesian networks consisting of thousands of vertices. Consequently, computing the likelihood of data, which i...
Dan Geiger, Maáyan Fishelson
RECOMB
2004
Springer
14 years 8 months ago
Aligning alignments exactly
d abstract) John Kececioglu and Dean Starrett Department of Computer Science The University of Arizona Tucson AZ 85721, USA A basic computational problem that arises in both the...
John D. Kececioglu, Dean Starrett
ATAL
2010
Springer
13 years 8 months ago
Enumeration and exact design of weighted voting games
In many multiagent settings, situations arise in which agents must collectively make decisions while not every agent is supposed to have an equal amount of influence in the outcom...
Bart de Keijzer, Tomas Klos, Yingqian Zhang