Phylogenetic PCA (p-PCA) is a version of for observations that are leaf nodes phylogenetic tree. P-PCA accounts the fact such not independent, due to shared evolutionary history. The method works on Euclidean data, but in biology there need applying it data manifolds, particularly shapes. We provide generalization p-PCA lying Riemannian called Tangent p-PCA. thus makes possible perform dimensio...

In this paper, we specify the performance of our pioneering billiard robot in pulling game training. We discuss the important role of practical demonstration in sports education, and introduce the robot technology to teaching demonstration of sports item. And put forward our algorithm for the fast image calculation of the ball obstructed by other balls, the problem that must be resolved while t...

We study the problem of estimating the leading eigenvectors of a high-dimensional population covariance matrix based on independent Gaussian observations. We establish a lower bound on the minimax risk of estimators under the l2 loss, in the joint limit as dimension and sample size increase to infinity, under various models of sparsity for the population eigenvectors. The lower bound on the ris...

We state below two results that we use frequently in our proofs. The first is well-known consequence of the CS decomposition. It relates the canonical angles between subspaces to the singular values of products and differences of their corresponding projection matrices.

The assessment of a cluster’s significance given the null (configuration) model relies on the estimation of the probability described in Eq. 1 of the main text. This function has to be evaluated many times along the execution of OSLOM in order to clean up each cluster and to evaluate the clusters at the different hierarchical levels. We explain here how the values of the distribution function c...

this paper presents a deterministic approach for performance assessment of different province’s road safety level at iran. a data envelopment analysis (dea) model considering undesirable input and output indices and a multivariate statistical method, principle component analysis (pca) are used in this paper, while previous studies do not use composite pca-dea method and undesirable input and ou...

Erratum: Equation (22) contains an error. It should read 100 ɛ(t, 0 °C) = 8.79 × 10 −4 t + 0.805 × 10 −7 t 2. (22) Also, the data presented in Table 12 under the column Day and Sosman Eq. (22) should be evaluated by using the corrected Eq. (22) above.