نتایج جستجو برای: non central principal component analysis
تعداد نتایج: 4632641 فیلتر نتایج به سال:
A typical problem in Thermal Nondestructive Testing/Evaluation (TNDT/E) is that of unsupervised feature extraction from the experimental data. Matrix factorization methods (MFMs) are mathematical techniques well suited for this task. In this paper we present the application of three MFMs: Principal Component Analysis (PCA), Non-negative Matrix Factorization (NMF), and Archetypal Analysis (AA). ...
Organized retailing is a sunrise industry in India. Many big industrial houses and international players are in the arena. The perfect competition in the market posed many challenges to retailers for better organizational performance. In this study we attempt to identify items for retail challenges (RC) and organizational performance (OP) based on strong literature support in consultation of pr...
introduction of human development index (hdi) by undp in early 1990 followed a surge in use of non-parametric and parametric indices for measurement and comparison of countries performance in development, globalization, competition, well-being and etc. the hdi is a composite index of three indicators. its components are to reflect three major dimensions of human development: longevity, knowledg...
سیستم شناسایی چهره¬ ما دارای سه مرحله¬ می¬باشد: 1) پیش¬پردازش، مرحله¬ ایست که در آن چهره از تصاویر چهره استخراج شده و قسمت¬های غیر چهره حذف می¬شود. 2) استخراج ویژگی¬ها که در این مرحله، بردار ویژگی¬ها از تصاویر پیش پردازش شده، استخراج می¬شود. در این پایان نامه، استخراج ویژگی¬ها توسط چهار روش¬: هرم جهت گرادیان، الگوی باینری محلی، تبدیل ویولت گسسته و ترکیب ویولت گسسته با جهت گرادیان انجام می¬شود ک...
frost is one of the atmospheric phenomena which seriously threaten crop production. it also causes numerousaccidents in mountainous roads. in this research the spatial synoptic classification ssc method was employed toclassify the type of air masses. for the classification, such meteorological data as: temperature, dew point, mean sealevel pressure, cloudiness, direction and speed of wind were ...
identification of mineralization features and deep geochemical anomalies using a new ft-pca approach
the analysis of geochemical data in frequency domain, as indicated in this research study, can provide new exploratory informationthat may not be exposed in spatial domain. to identify deep geochemical anomalies, sulfide zone and geochemical noises in dalli cu–au porphyry deposit, a new approach based on coupling fourier transform (ft) and principal component analysis (pca) has beenused. the re...
objective: conners adult adhd rating scale (caars) is among the valid questionnaires for evaluating attention-deficit/hyperactivity disorder in adults. the aim of this paper is to evaluate the validity of the estimation of missed answers in scoring the screening version of the conners questionnaire, and to extract its principal components. method: this study was performed on 400 participants. a...
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