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» Clustering performance data efficiently at massive scales
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PAMI
2012
13 years 3 months ago
Simultaneously Fitting and Segmenting Multiple-Structure Data with Outliers
Abstract—We propose a robust fitting framework, called Adaptive Kernel-Scale Weighted Hypotheses (AKSWH), to segment multiplestructure data even in the presence of a large number...
Hanzi Wang, Tat-Jun Chin, David Suter
BMCBI
2008
142views more  BMCBI 2008»
15 years 28 days ago
Microarray data mining: A novel optimization-based approach to uncover biologically coherent structures
Background: DNA microarray technology allows for the measurement of genome-wide expression patterns. Within the resultant mass of data lies the problem of analyzing and presenting...
Meng Piao Tan, Erin N. Smith, James R. Broach, Chr...
129
Voted
ICDM
2010
IEEE
189views Data Mining» more  ICDM 2010»
14 years 10 months ago
S4: Distributed Stream Computing Platform
Abstract--S4 is a general-purpose, distributed, scalable, partially fault-tolerant, pluggable platform that allows programmers to easily develop applications for processing continu...
Leonardo Neumeyer, Bruce Robbins, Anish Nair, Anan...
147
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CLUSTER
2002
IEEE
15 years 5 months ago
Scalable Resource Management in High Performance Computers
Clusters of workstations have emerged as an important platform for building cost-effective, scalable, and highlyavailable computers. Although many hardware solutions are available...
Eitan Frachtenberg, Fabrizio Petrini, Juan Fern&aa...
128
Voted
PRL
2010
188views more  PRL 2010»
14 years 7 months ago
A fast divisive clustering algorithm using an improved discrete particle swarm optimizer
As an important technique for data analysis, clustering has been employed in many applications such as image segmentation, document clustering and vector quantization. Divisive cl...
Liang Feng, Ming-Hui Qiu, Yu-Xuan Wang, Qiao-Liang...