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» Finding Groups in Data: Cluster Analysis with Ants
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PAA
2002
14 years 11 months ago
Hierarchical Fusion of Multiple Classifiers for Hyperspectral Data Analysis
: Many classification problems involve high dimensional inputs and a large number of classes. Multiclassifier fusion approaches to such difficult problems typically centre around s...
Shailesh Kumar, Joydeep Ghosh, Melba M. Crawford
JCDL
2006
ACM
152views Education» more  JCDL 2006»
15 years 5 months ago
Also by the same author: AKTiveAuthor, a citation graph approach to name disambiguation
The desire for definitive data and the semantic web drive for inference over heterogeneous data sources requires co-reference resolution to be performed on those data. In particul...
Duncan M. McRae-Spencer, Nigel R. Shadbolt
BMCBI
2006
149views more  BMCBI 2006»
14 years 12 months ago
HeatMapper: powerful combined visualization of gene expression profile correlations, genotypes, phenotypes and sample characteri
Background: Accurate interpretation of data obtained by unsupervised analysis of large scale expression profiling studies is currently frequently performed by visually combining s...
Roel G. W. Verhaak, Mathijs A. Sanders, Maarten A....
ICDE
2008
IEEE
124views Database» more  ICDE 2008»
16 years 1 months ago
Mining Approximate Order Preserving Clusters in the Presence of Noise
Subspace clustering has attracted great attention due to its capability of finding salient patterns in high dimensional data. Order preserving subspace clusters have been proven to...
Mengsheng Zhang, Wei Wang 0010, Jinze Liu
BMCBI
2007
112views more  BMCBI 2007»
14 years 11 months ago
Inferring biological functions and associated transcriptional regulators using gene set expression coherence analysis
Background: Gene clustering has been widely used to group genes with similar expression pattern in microarray data analysis. Subsequent enrichment analysis using predefined gene s...
Tae-Min Kim, Yeun-Jun Chung, Mun-Gan Rhyu, Myeong ...