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» Cluster Analysis of High-Dimensional Data: A Case Study
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BMCBI
2008
143views more  BMCBI 2008»
13 years 7 months ago
Gene identification and protein classification in microbial metagenomic sequence data via incremental clustering
Background: The identification and study of proteins from metagenomic datasets can shed light on the roles and interactions of the source organisms in their communities. However, ...
Shibu Yooseph, Weizhong Li, Granger G. Sutton
DATE
1999
IEEE
100views Hardware» more  DATE 1999»
14 years 2 days ago
The Rugby Model: A Conceptual Frame for the Study of Modelling, Analysis and Synthesis Concepts of Electronic Systems
We propose a conceptual framework, called the Rugby Model, in which designs, design processes and design tools can be studied. It is an extension of the Y chart and adds two dimen...
Axel Jantsch, Shashi Kumar, Ahmed Hemani
CLUSTER
2008
IEEE
14 years 2 months ago
OpenMP-centric performance analysis of hybrid applications
—Several performance analysis tools support hybrid applications. Most originated as MPI profiling or tracing tools and OpenMP capabilities were added to extend the performance a...
Karl Fürlinger, Shirley Moore
BMCBI
2005
80views more  BMCBI 2005»
13 years 7 months ago
Sample phenotype clusters in high-density oligonucleotide microarray data sets are revealed using Isomap, a nonlinear algorithm
Background: Life processes are determined by the organism's genetic profile and multiple environmental variables. However the interaction between these factors is inherently ...
Kevin Dawson, Raymond L. Rodriguez, Wasyl Malyj
NIPS
2008
13 years 9 months ago
Spectral Clustering with Perturbed Data
Spectral clustering is useful for a wide-ranging set of applications in areas such as biological data analysis, image processing and data mining. However, the computational and/or...
Ling Huang, Donghui Yan, Michael I. Jordan, Nina T...