the objective of this study was to investigate the relationship among body weight and fat-tail measurements with fat-tail weight by using multiple regression and principal component analysis. the eleven characters includes, body weight, fat-tail length, fat-tail circumference, width and diameters in 3 position of upper, middle and lower before the slaughter, and also fat-tail weight after the s...

The principle of dimensionality reduction with PCA is the representation of the dataset ‘X’in terms of eigenvectors ei ∈ RN  of its covariance matrix. The eigenvectors oriented in the direction with the maximum variance of X in RN carry the most      relevant information of X. These eigenvectors are called principal components [8]. Ass...

this research has been done with the aim of explaining environmental and managerial factors that affects on rangeland vegetation distribution in saral rangelands of kurdistan province. after selecting plant types as working area were done sampling from plant types and determined some of plants parameters such as kind and number of plants and cover percentage. various environmental factors such ...

aim and background: the aim of the present study was to develop a short form of the persian version of the cognitive emotion regulation questionnaire (cerq-p-short) and to examine its reliability and validity. methods and materials: the cerq-p was administrated to 420 (220 male and 200 female) iranian university students in 2009-2010 academic year. following stepwise omission of the items with ...

Principal component analysis (PCA) has been applied to analyze random fields in various scientific disciplines. However, the explainability of PCA remains elusive unless strong domain-specific knowledge is available. This paper provides a theoretical framework that builds duality between eigenmodes field and eigenstates Schr\"odinger equation. Based on we propose algorithm replace expensive sol...