Kernel Principal Component Analysis

Bayesian kernel machine regression (BKMR) analysis was used to evaluate the univariate contaminant exposure effect as well as the contaminant mixture effects on levels of thyroid hormones. Significant and positive associations were found between total T3 and PC-2 (high positive nickel and cadmium loadings), total T3 and PC-3 (negative association with negative loading for nickel and positive loading for cadmium) and TSH and PC-1 (high positive loadings for organic contaminants).

9p thebadguys 15-01-2022 11 0   Download

In the present study all the 30 genotypes were grouped into six non overlapping clusters based on non- hierarchical Euclidean cluster analysis. Maximum numbers of genotypes (7) were grouped in cluster-I, IV and VI followed by cluster-II (5), cluster-V (3) and cluster III with one genotype. Inter-cluster distances was highest between cluster IV and VI (916.73) followed by III and V (846.80). Among the 21 characters studied, grain yield plant-1 , stover yield plant-1 , number of kernels per row and ear height contributed maximum towards the total divergence.

6p quenchua8 29-09-2020 12 0   Download

The purpose of this paper is to analyze Enterprise Resource Planning (ERP) implementation process for Small and Medium Enterprises (SMEs) in India to identify the key enablers.

12p kelseynguyen 26-05-2020 33 1   Download

In the present investigation a total of forty seven maize inbred lines were studied to assess the genetic diversity for 10 quantitative traits viz., days to 50% tasseling, days to 50% silking, days to maturity, plant height (cm), ear length (cm), ear height (cm), 100-seed weight (g), kernel rows per ear, number of kernels per row and grain yield per plant (g) using principal component analysis and hierarchical cluster analysis. The PCA identified four principal components (PCs) with Eigen value greater than 1.00 and accounted for 80.35 per cent of total variation.

9p nguaconbaynhay5 11-05-2020 14 0   Download

A population panel comprising 126 newly developed restorer lines that can be utilized in hybrid rice breeding in future were evaluated for 16 agro-morphological and grain quality traits by principal component analysis for determining the pattern of genetic diversity and relationship among individuals.

7p trinhthamhodang3 12-02-2020 9 0   Download

We introduce a new method for disambiguating word senses that exploits a nonlinear Kernel Principal Component Analysis (KPCA) technique to achieve accuracy superior to the best published individual models. We present empirical results demonstrating significantly better accuracy compared to the state-of-the-art achieved by either na¨ve Bayes ı or maximum entropy models, on Senseval-2 data. We also contrast against another type of kernel method, the support vector machine (SVM) model, and show that our KPCA-based model outperforms the SVM-based model. ...

8p bunbo_1 17-04-2013 51 1   Download

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Kernel Principal Component Analysis for the Classification of Hyperspectral Remote Sensing Data over Urban Areas

14p dauphong16 20-02-2012 45 6   Download