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» Algorithms for Clustering Data
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IPPS
2005
IEEE
16 years 22 days ago
A Dependency Chain Clustered Microarchitecture
In this paper we explore a new clustering approach for reducing the complexity of wide issue in-order processors based on EPIC architectures. Complexity effectiveness is achieved ...
Satish Narayanasamy, Hong Wang 0003, Perry H. Wang...
SIGIR
2008
ACM
15 years 7 months ago
Enhancing text clustering by leveraging Wikipedia semantics
Most traditional text clustering methods are based on "bag of words" (BOW) representation based on frequency statistics in a set of documents. BOW, however, ignores the ...
Jian Hu, Lujun Fang, Yang Cao, Hua-Jun Zeng, Hua L...
GECCO
2004
Springer
138views Optimization» more  GECCO 2004»
16 years 16 days ago
Exploratory Data Analysis with Interactive Evolution
We illustrate with two simple examples how Interactive Evolutionary Computation (IEC) can be applied to Exploratory Data Analysis (EDA). IEC is particularly valuable in an EDA cont...
Sergey Malinchik, Eric Bonabeau
BMCBI
2008
148views more  BMCBI 2008»
15 years 7 months ago
Discovering biclusters in gene expression data based on high-dimensional linear geometries
Background: In DNA microarray experiments, discovering groups of genes that share similar transcriptional characteristics is instrumental in functional annotation, tissue classifi...
Xiangchao Gan, Alan Wee-Chung Liew, Hong Yan