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» Uncertain Clustering: Models, Methods and Applications
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AUSAI
2009
Springer
15 years 4 months ago
Enhancing MML Clustering Using Context Data with Climate Applications
Abstract. In Minimum Message Length (MML) clustering (unsupervised classification, mixture modelling) the aim is to infer a set of classes that best explains the observed data ite...
Gerhard Visser, David L. Dowe, Petteri Uotila
SADM
2010
141views more  SADM 2010»
14 years 4 months ago
A parametric mixture model for clustering multivariate binary data
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...
Ajit C. Tamhane, Dingxi Qiu, Bruce E. Ankenman
AIR
2005
85views more  AIR 2005»
14 years 9 months ago
On Paradox of Fuzzy Modeling: Supervised Learning for Rectifying Fuzzy Membership Function
The paradox of fuzzy modeling is recognized due to the co-existence of its effectiveness of solving uncertain problems in the real world and the skepticism of its reasonability in ...
Shaopei Lin
CLUSTER
2003
IEEE
15 years 3 months ago
Run-Time Prediction of Parallel Applications on Shared Environments
Application run-time information is a fundamental component in application and job scheduling. However, accurate predictions of run times are difficult to achieve for parallel app...
Byoung-Dai Lee, Jennifer M. Schopf
CASES
2006
ACM
15 years 1 months ago
Efficient architectures through application clustering and architectural heterogeneity
Customizing architectures for particular applications is a promising approach to yield highly energy-efficient designs for embedded systems. This work explores the benefits of arc...
Lukasz Strozek, David Brooks