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IDEAL
2005
Springer
15 years 6 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
14 years 4 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...
86
Voted
CSB
2005
IEEE
141views Bioinformatics» more  CSB 2005»
15 years 6 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...
88
Voted
IDEAL
2005
Springer
15 years 6 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...
112
Voted
ICMCS
2005
IEEE
138views Multimedia» more  ICMCS 2005»
15 years 6 months ago
Overcomplete ICA-based Manmade Scene Classification
Principal Component Analysis (PCA) has been widely used to extract features for pattern recognition problems such as object recognition. Oliva and Torralba used “spatial envelop...
Matthew Boutell, Jiebo Luo