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ISBI
2002
IEEE
15 years 9 months ago
Bayesian clustering methods for morphological analysis of MR images
Determining the relationship between structure (i.e. morphology) and function is a fundamental problem in brain research. In this paper we present a new framework based on Bayesia...
Hanchuan Peng, Edward Herskovits, Christos Davatzi...
TKDE
2008
121views more  TKDE 2008»
15 years 4 months ago
On Modularity Clustering
Modularity is a recently introduced quality measure for graph clusterings. It has immediately received considerable attention in several disciplines, and in particular in the compl...
Ulrik Brandes, Daniel Delling, Marco Gaertler, Rob...
TSE
2002
96views more  TSE 2002»
15 years 3 months ago
Better Reliability Assessment and Prediction through Data Clustering
This paper presents a new approach to software reliability modeling by grouping data into clusters of homogeneous failure intensities. This series of data clusters associated with...
Jeff Tian
IMCSIT
2010
15 years 2 months ago
Modelling, Optimization and Execution of Workflow Applications with Data Distribution, Service Selection and Budget Constraints
Abstract--The paper proposes a model which allows integration of services published by independent providers into scientific or business workflows. Optimization algorithms are prop...
Pawel Czarnul
INFORMATICALT
2010
103views more  INFORMATICALT 2010»
14 years 11 months ago
Multistage K-Means Clustering for Scenario Tree Construction
Abstract. In stochastic programming and decision analysis, an important issue consists in the approximate representation of the multidimensional stochastic underlying process in th...
Kristina Sutiene, Dalius Makackas, Henrikas Pranev...