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DIS
2006
Springer
15 years 7 months ago
Clustering Pairwise Distances with Missing Data: Maximum Cuts Versus Normalized Cuts
Abstract. Clustering algorithms based on a matrix of pairwise similarities (kernel matrix) for the data are widely known and used, a particularly popular class being spectral clust...
Jan Poland, Thomas Zeugmann
LREC
2008
180views Education» more  LREC 2008»
15 years 5 months ago
Do we Still Need Gold Standards for Evaluation?
The availability of a huge mass of textual data in electronic format has increased the need for fast and accurate techniques for textual data processing. Machine learning and stat...
Thierry Poibeau, Cédric Messiant
BMCBI
2006
119views more  BMCBI 2006»
15 years 4 months ago
Utilization of two sample t-test statistics from redundant probe sets to evaluate different probe set algorithms in GeneChip stu
Background: The choice of probe set algorithms for expression summary in a GeneChip study has a great impact on subsequent gene expression data analysis. Spiked-in cRNAs with know...
Zihua Hu, Gail R. Willsky
ICDE
1999
IEEE
151views Database» more  ICDE 1999»
16 years 5 months ago
Data Integration by Describing Sources with Constraint Databases
We develop a data integration approach for the efficient evaluation of queries over autonomous source databases. The approach is based on some novel applications and extensions of...
Xun Cheng, Guozhu Dong, Tzekwan Lau, Jianwen Su
127
Voted
ICTAI
2005
IEEE
15 years 9 months ago
Cellular Ants: Combining Ant-Based Clustering with Cellular Automata
This paper proposes a novel data clustering algorithm, coined ‘cellular ants’, which combines principles of cellular automata and ant colony optimization algorithms to group s...
Andrew Vande Moere, Justin James Clayden