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» Scaling Clustering Algorithms to Large Databases
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PVM
2010
Springer
15 years 3 days ago
Massively Parallel Finite Element Programming
Abstract. Today’s large finite element simulations require parallel algorithms to scale on clusters with thousands or tens of thousands of processor cores. We present data struc...
Timo Heister, Martin Kronbichler, Wolfgang Bangert...
ICIP
2001
IEEE
16 years 3 months ago
Capturing image semantics with low-level descriptors
: We conducted psychophysical experiments to gain insight into the semantic categories that guide the human perception of image similarity. We analyzed the perceptual data using mu...
Aleksandra Mojsilovic, Bernice E. Rogowitz
BMCBI
2007
148views more  BMCBI 2007»
15 years 1 months ago
Evaluation of gene-expression clustering via mutual information distance measure
Background: The definition of a distance measure plays a key role in the evaluation of different clustering solutions of gene expression profiles. In this empirical study we compa...
Ido Priness, Oded Maimon, Irad E. Ben-Gal
KDD
2004
ACM
147views Data Mining» more  KDD 2004»
15 years 7 months ago
Clustering time series from ARMA models with clipped data
Clustering time series is a problem that has applications in a wide variety of fields, and has recently attracted a large amount of research. In this paper we focus on clustering...
Anthony J. Bagnall, Gareth J. Janacek
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
16 years 2 months ago
Discovering significant OPSM subspace clusters in massive gene expression data
Order-preserving submatrixes (OPSMs) have been accepted as a biologically meaningful subspace cluster model, capturing the general tendency of gene expressions across a subset of ...
Byron J. Gao, Obi L. Griffith, Martin Ester, Steve...