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CSMR
2005
IEEE
15 years 12 months ago
Clustering Data Retrieved from Java Source Code to Support Software Maintenance: A Case Study
Data mining is a technology recently used in support of software maintenance in various contexts. Our works focuses on achieving a high level understanding of Java systems without...
Dimitris Rousidis, Christos Tjortjis
SMI
2008
IEEE
108views Image Analysis» more  SMI 2008»
16 years 21 days ago
Variational Multilevel Mesh Clustering
In this paper a novel clustering algorithm is proposed, namely Variational Multilevel Mesh Clustering (VMLC). The algorithm incorporates the advantages of both hierarchical and va...
Iurie Chiosa, Andreas Kolb
APWEB
2006
Springer
15 years 10 months ago
Generalized Projected Clustering in High-Dimensional Data Streams
Clustering is to identify densely populated subgroups in data, while correlation analysis is to find the dependency between the attributes of the data set. In this paper, we combin...
Ting Wang
BMCBI
2010
156views more  BMCBI 2010»
15 years 6 months ago
Adaptive coarse-grained Monte Carlo simulation of reaction and diffusion dynamics in heterogeneous plasma membranes
Background: An adaptive coarse-grained (kinetic) Monte Carlo (ACGMC) simulation framework is applied to reaction and diffusion dynamics in inhomogeneous domains. The presented mod...
Stuart Collins, Michail Stamatakis, Dionisios G. V...
MICCAI
2008
Springer
16 years 7 months ago
Spectral Clustering as a Diagnostic Tool in Cross-Sectional MR Studies: An Application to Mild Dementia
Abstract. Structural imaging investigations commonly apply a segmentation step followed by the extraction of feature data that can be used to compare or discriminate groups. We pre...
Paul Aljabar, Daniel Rueckert, William R. Crum