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» A rough set approach to multiple dataset analysis
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TVCG
2008
111views more  TVCG 2008»
14 years 11 months ago
Interactive Visual Analysis of Set-Typed Data
While it is quite typical to deal with attributes of different data types in the visualization of heterogeneous, multivariate datasets, most existing techniques still focus on the ...
Wolfgang Freiler, Kresimir Matkovic, Helwig Hauser
IJIT
2004
15 years 1 months ago
IMDC: An Image-Mapped Data Clustering Technique for Large Datasets
In this paper, we present a new algorithm for clustering data in large datasets using image processing approaches. First the dataset is mapped into a binary image plane. The synthe...
Faruq A. Al-Omari, Nabeel I. Al-Fayoumi
MLDM
2005
Springer
15 years 5 months ago
Clustering Large Dynamic Datasets Using Exemplar Points
In this paper we present a method to cluster large datasets that change over time using incremental learning techniques. The approach is based on the dynamic representation of clus...
William Sia, Mihai M. Lazarescu
BMCBI
2006
116views more  BMCBI 2006»
14 years 11 months ago
Integrative missing value estimation for microarray data
Background: Missing value estimation is an important preprocessing step in microarray analysis. Although several methods have been developed to solve this problem, their performan...
Jianjun Hu, Haifeng Li, Michael S. Waterman, Xiang...
BMCBI
2006
119views more  BMCBI 2006»
14 years 11 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