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AUSDM
2008
Springer
238views Data Mining» more  AUSDM 2008»
15 years 9 months ago
Graphics Hardware based Efficient and Scalable Fuzzy C-Means Clustering
The exceptional growth of graphics hardware in programmability and data processing speed in the past few years has fuelled extensive research in using it for general purpose compu...
S. A. Arul Shalom, Manoranjan Dash, Minh Tue
170
Voted
BMCBI
2010
102views more  BMCBI 2010»
15 years 7 months ago
Alignment and clustering of phylogenetic markers - implications for microbial diversity studies
Background: Molecular studies of microbial diversity have provided many insights into the bacterial communities inhabiting the human body and the environment. A common first step ...
James Robert White, Saket Navlakha, Niranjan Nagar...
CORR
2006
Springer
119views Education» more  CORR 2006»
15 years 6 months ago
Clustering and Sharing Incentives in BitTorrent Systems
Peer-to-peer protocols play an increasingly instrumental role in Internet content distribution. It is therefore important to gain a complete understanding of how these protocols b...
Arnaud Legout, Nikitas Liogkas, Eddie Kohler, Lixi...
211
Voted
JMLR
2002
111views more  JMLR 2002»
15 years 6 months ago
The Learning-Curve Sampling Method Applied to Model-Based Clustering
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...
Christopher Meek, Bo Thiesson, David Heckerman
236
Voted
FPL
2010
Springer
188views Hardware» more  FPL 2010»
15 years 4 months ago
SeqHive: A Reconfigurable Computer Cluster for Genome Re-sequencing
We demonstrate how Field Programmable Gate Arrays (FPGAs) may be used to address the computing challenges associated with assembling genome sequences from recent ultra-high-through...
Kristian Stevens, Henry Chen, Terry Filiba, Peter ...