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» Comparing Massive High-Dimensional Data Sets
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ESANN
2006
13 years 8 months ago
Visual Data Mining and Machine Learning
Information visualization and visual data mining leverage the human visual system to provide insight and understanding of unorganized data. In order to scale to massive sets of hig...
Fabrice Rossi
BMCBI
2010
190views more  BMCBI 2010»
13 years 7 months ago
Sample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification alg
Background: Data generated using `omics' technologies are characterized by high dimensionality, where the number of features measured per subject vastly exceeds the number of...
Yu Guo, Armin Graber, Robert N. McBurney, Raji Bal...
ICDM
2005
IEEE
122views Data Mining» more  ICDM 2005»
14 years 28 days ago
Finding Representative Set from Massive Data
In the information age, data is pervasive. In some applications, data explosion is a significant phenomenon. The massive data volume poses challenges to both human users and comp...
Feng Pan, Wei Wang 0010, Anthony K. H. Tung, Jiong...
WOB
2004
233views Bioinformatics» more  WOB 2004»
13 years 8 months ago
Recent Advances in Gene Expression Data Clustering: A Case Study with Comparative Results
Several advanced techniques have been proposed for data clustering and many of them have been applied to gene expression data, with partial success. The high dimensionality and the...
George Barreto Bezerra, Geraldo M. A. Cança...
BMCBI
2010
110views more  BMCBI 2010»
13 years 7 months ago
GenHtr: a tool for comparative assessment of genetic heterogeneity in microbial genomes generated by massive short-read sequenci
Background: Microevolution is the study of short-term changes of alleles within a population and their effects on the phenotype of organisms. The result of the below-species-level...
GongXin Yu