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SODA
2010
ACM
149views Algorithms» more  SODA 2010»
16 years 1 months ago
Sharp kernel clustering algorithms and their associated Grothendieck inequalities
abstract Subhash Khot Assaf Naor In the kernel clustering problem we are given a (large) n ? n symmetric positive semidefinite matrix A = (aij) with n i=1 n j=1 aij = 0 and a (sma...
Subhash Khot, Assaf Naor
146
Voted
IPPS
2005
IEEE
15 years 9 months ago
MegaProto: A Low-Power and Compact Cluster for High-Performance Computing
“MegaProto” is a proof-of-concept prototype for our project “Mega-Scale Computing Based on Low-Power Technology and Workload Modeling”, implementing our key idea that a mi...
Hiroshi Nakashima, Hiroshi Nakamura, Mitsuhisa Sat...
144
Voted
IDEAL
2009
Springer
15 years 8 months ago
Web Feed Clustering and Tagging Aggregator Using Topological Tree-Based Self-Organizing Maps
With the rapid and dramatic increase in web feeds published by different publishers, providers or websites via Really Simple Syndication (RSS) and Atom, users cannot be expected t...
Richard T. Freeman
BMCBI
2008
104views more  BMCBI 2008»
15 years 4 months ago
Missing value imputation improves clustering and interpretation of gene expression microarray data
Background: Missing values frequently pose problems in gene expression microarray experiments as they can hinder downstream analysis of the datasets. While several missing value i...
Johannes Tuikkala, Laura Elo, Olli Nevalainen, Ter...
BMCBI
2008
93views more  BMCBI 2008»
15 years 4 months ago
Using iterative cluster merging with improved gap statistics to perform online phenotype discovery in the context of high-throug
Background: The recent emergence of high-throughput automated image acquisition technologies has forever changed how cell biologists collect and analyze data. Historically, the in...
Zheng Yin, Xiaobo Zhou, Chris Bakal, Fuhai Li, You...