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» Robust principal component analysis
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ICA
2007
Springer
14 years 1 months ago
Mutual Interdependence Analysis (MIA)
Functional Data Analysis (FDA) is used for datasets that are more meaningfully represented in the functional form. Functional principal component analysis, for instance, is used to...
Heiko Claussen, Justinian Rosca, Robert I. Damper
IDEAL
2005
Springer
14 years 1 months ago
Cluster Analysis of High-Dimensional Data: A Case Study
Abstract. Normal mixture models are often used to cluster continuous data. However, conventional approaches for fitting these models will have problems in producing nonsingular es...
Richard Bean, Geoffrey J. McLachlan
ICASSP
2011
IEEE
12 years 11 months ago
Iterative PCA for population structure analysis
An extension of principal component analysis called ipPCA has been proposed earlier for analyzing structure in genetic data. This non-parametric framework iteratively classifies ...
Tulaya Limpiti, Apichart Intarapanich, Anunchai As...
CSB
2005
IEEE
141views Bioinformatics» more  CSB 2005»
14 years 1 months ago
Joint Genomic and Metabolomic Analysis of Toxic Dose-Response Experiments
A methodology has been implemented for analyzing microarray and NMR spectral data obtained from the same set of toxic-exposure dose-response experiments. The NMR spectra additiona...
Gary L. Jahns, Nicholas J. DelRaso, Mark P. Westri...
IDEAL
2005
Springer
14 years 1 months ago
Multiresolution Analysis of Connectivity
Multiresolution histograms have been used for indexing and retrieval of images. Multiresolution histograms used traditionally are 2d-histograms which encode pixel intensities. Earl...
Atul Sajjanhar, Guojun Lu, Dengsheng Zhang, Tian Q...