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CLUSTER
2006
IEEE
15 years 3 months ago
Autonomic Management of Clustered Applications
Distributed software environments are increasingly complex and difficult to manage, as they integrate various legacy software with proprietary management interfaces. Moreover, th...
Sara Bouchenak, Noel De Palma, Daniel Hagimont, Ch...
NN
2006
Springer
105views Neural Networks» more  NN 2006»
14 years 9 months ago
Unfolding preprocessing for meaningful time series clustering
Clustering methods are commonly applied to time series, either as a preprocessing stage for other methods or in their own right. In this paper it is explained why time series clus...
Geoffroy Simon, John Aldo Lee, Michel Verleysen
PR
2007
116views more  PR 2007»
14 years 9 months ago
GAPS: A clustering method using a new point symmetry-based distance measure
In this paper, an evolutionary clustering technique is described that uses a new point symmetry-based distance measure. The algorithm is therefore able to detect both convex and n...
Sanghamitra Bandyopadhyay, Sriparna Saha
CLUSTER
2006
IEEE
15 years 3 months ago
Improving the Performance of Cluster Applications through I/O Proxy Architecture
Clusters are the most common solutions for high performance computing at the present time. In this kind of systems, an important challenge is the I/O subsystem design. Typically, ...
Luis Miguel Sánchez, Florin Isaila, Alejand...
PR
2007
107views more  PR 2007»
14 years 9 months ago
Newtonian clustering: An approach based on molecular dynamics and global optimization
Given a data set, a dynamical procedure is applied to the data points in order to shrink and separate, possibly overlapping clusters. Namely, Newton’s equations of motion are em...
Konstantinos Blekas, Isaac E. Lagaris