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BMCBI
2010
171views more  BMCBI 2010»
15 years 7 months ago
PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...
197
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TPDS
2008
140views more  TPDS 2008»
15 years 6 months ago
High-Performance Resource Allocation and Request Redirection Algorithms for Web Clusters
Abstract-- With increasing richness in features such as personalization of content, web applications are becoming more complex and hence compute intensive. Traditional approaches t...
Supranamaya Ranjan, Edward W. Knightly
CVPR
2006
IEEE
16 years 8 months ago
Clustering Appearance for Scene Analysis
We propose a new approach called "appearance clustering" for scene analysis. The key idea in this approach is that the scene points can be clustered according to their s...
Sanjeev J. Koppal, Srinivasa G. Narasimhan
MICRO
2002
IEEE
143views Hardware» more  MICRO 2002»
15 years 11 months ago
Effective instruction scheduling techniques for an interleaved cache clustered VLIW processor
Clustering is a common technique to overcome the wire delay problem incurred by the evolution of technology. Fully-distributed architectures, where the register file, the functio...
Enric Gibert, F. Jesús Sánchez, Anto...
BIODATAMINING
2008
96views more  BIODATAMINING 2008»
15 years 7 months ago
Fast approximate hierarchical clustering using similarity heuristics
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...
Meelis Kull, Jaak Vilo