Robust Principal Component Analysis Based On Trimming Around Affine Subspaces
Texto completo
Figure
Documento similar
The principal component analysis was conducted on the TPM (transcripts per millions reads) values for the differentially expressed genes in the cultivar ‘Garnet’ flower buds, sampled
As a target reliability model we have considered the one presented in [12], that is a model that expresses the reliability on demand of a component-based system as a func- tion of:
effect of the recycled plastics on the strength at break is small; the blends of LDPE with AF200. or AF231 generally show lower values than the pure LDPE, but the decreases are
The success of computational drug design depends on accurate predictions of the binding free energies of small molecules to the target protein. ligand-based drug discovery
Instrument Stability is a Key Challenge to measuring the Largest Angular Scales. White noise of photon limited detector
The second is based on dimension reduction by using functional principal component analysis of the sample curves (FPCA) and testing multivariate homogeneity on a vector of
In the preparation of this report, the Venice Commission has relied on the comments of its rapporteurs; its recently adopted Report on Respect for Democracy, Human Rights and the Rule
To achieve a transformation from the original space to a feature space useful for classification, oriented principal component analysis (OPCA) is presented as the solution of