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A duality view of spectral methods for dimensionality reduction
Duality spectrum the nonlinear dimension reduction locally linear embedding Laplacian sparse matrix
2015/8/10
We present a unified duality view of several recently emerged spectral methods for nonlinear dimensionality reduction, including Isomap, locally linear embedding, Laplacian eigenmaps, and maximum vari...
Identification of Stearoyl-CoA Desaturase (SCD) Gene Interactions in Korean Native Cattle Based on the Multifactor-dimensionality Reduction Method
Native Cattle Multifactor-Dimensionality Reduction (MDR) Single Nucleotide Polymorphism (SNP) Stearoyl-CoA Desaturase1 (SCD1) Gene
2016/5/12
Fat quality is determined by the composition of fatty acids. Genetic relationships between this composition and single nucleotide polymorphisms (SNPs) in the stearoyl-CoA desaturase1 (SCD1) gene were ...
Nonlinear dimensionality reduction in climate data
Nonlinear dimensionality reduction climate data
2009/11/11
Linear methods of dimensionality reduction are useful tools for handling and interpreting high dimensional data. However, the cumulative variance explained by each of the subspaces in which the data s...
ENSO dynamics in current climate models:an investigation using nonlinear dimensionality reduction
ENSO dynamics current climate models nonlinear dimensionality reduction
2009/10/30
Linear dimensionality reduction techniques, notably principal component analysis, are widely used in climate data analysis as a means to aid in the interpretation of datasets of high dimensionality. T...
Multifactor Dimensionality Reduction (MDR) Analysis to Detect Single Nucleotide Polymorphisms Associated with a Carcass Trait in a Hanwoo Population
Multifactor-dimensionality Reduction (MDR) SNP Hanwoo Association Study
2016/4/27
Studies to detect genes responsible for economic traits in farm animals have been performed using parametric linear models. A non-parametric, model-free approach using the ??expanded multifactor-dimen...