86 articles for “Principal Component Analysis”

Set a search alert

Research ArticleOpen accessIn the abstractAssessment of Quality Management Practices Within the Healthcare IndustryWilliam J. Miller, Andrew T. Sumner, Richard H. DeaneProblem Statement: Considerable effort has been devoted over the years by many organizations to adopt quality management practices, but few studies have assessed critical factors that affect quality practices in healthcare organizations. The problem addressed in this study was to assess the critical factors influencing the quality management practices in a single important industry (i.e., healthcare). Approach: A survey instrument … …American Journal of Economics and Business Administration, Vol. 1, Issue 2 · 30 Jun 2009 · 10,361 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEnhancing P300 Component by Spectral Power Ratio Principal Components for a Single Trial Brain-Computer InterfaceS. Andrews, Ramaswamy Palaniappan, Andrew Teoh, Loo chu KiongHere we present a novel approach to detect P300 wave in single trial Visual Event Related Potential (VERP) signals using improved principal component analysis to enable a faster brain-computer interface (BCI) design. In the process, the principal components (PCs) are selected using novel methods, namely spectral power ratio (SPR) and sandwich spectral power ratio (SSPR). We set out to assess … …American Journal of Applied Sciences, Vol. 5, Issue 6 · 30 Jun 2008 · 7,881 accessesView PDF Cite

Research ArticleOpen accessIn the abstractFace Recognition Based on Nonlinear Feature ApproachEimad E.A. Abusham, Andrew T.B. Jin, Wong E. Kiong, G. DebashisFeature extraction techniques are widely used to reduce the complexity high dimensional data. Nonlinear feature extraction via Locally Linear Embedding (LLE) has attracted much attention due to their high performance. In this paper, we proposed a novel approach for face recognition to address the challenging task of recognition using integration of nonlinear dimensional reduction Locally Linear Embedding integrated with Local … …American Journal of Applied Sciences, Vol. 5, Issue 5 · 31 May 2008 · 6,520 accessesView PDF Cite

Research ArticleOpen accessIn the abstractValidity and Reliability of the Short Form- 36 Items Questionnaire as a Measure of Quality of Life in Elderly Iranian PopulationSeyed-Reza Eshaghi, Mohammad Arash Ramezani, Armindokht Shahsanaee, Arash PooyaThe utility of The SF-36 questionnaire for evaluation of health related quality of life was not clear in elderly people. The Cross-Sectional study was designed and Iranian version of The SF-36 was administered to random sample of 100 old subjects over 60 years old. Finding showed good internal consistency over 0.7 for all subscales of questionnaire. Convergent validity was obtained … …American Journal of Applied Sciences, Vol. 3, Issue 3 · 31 Mar 2006 · 7,959 accessesView PDF Cite

Research ArticleOpen accessIn the abstractSplitting Technique Initialization in Local PCAAlok Sharma, Kuldip K. Paliwal, Godfrey C. OnwuboluThe local Principal Component Analysis (PCA) reduces linearly redundant components that may present in higher dimensional space. It deploys an initial guess technique which can be utilized when the distribution of a given multivariate data is known to the user. The problem in initialization arises when the distribution is not known. This study explores a technique that can be easily … …Journal of Computer Science, Vol. 2, Issue 1 · 31 Jan 2006 · 7,719 accessesView PDF Cite

Research ArticleOpen accessIn the abstractPattern Classification: An Improvement Using Combination of VQ and PCA Based TechniquesAlok Sharma, Kuldip K. Paliwal, Godfrey C. OnwuboluThis study firstly presents a survey on basic classifiers namely Minimum Distance Classifier (MDC), Vector Quantization (VQ), Principal Component Analysis (PCA), Nearest Neighbor (NN) and K-Nearest Neighbor (KNN). Then Vector Quantized Principal Component Analysis (VQPCA) which is generally used for representation purposes is considered for performing classification tasks. Some classifiers achieve high classification accuracy but their data storage requirement and … …American Journal of Applied Sciences, Vol. 2, Issue 10 · 31 Oct 2005 · 6,498 accessesView PDF Cite