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Structure detection discovery from image data is scarce. Hence, we attempt to explore and uncover the underlying structure from two datasets of different perspective through statistical procedures commonly used in psychology, social science, health and business. Firstly, distinction between principal component analysis and exploratory factor analysis are briefly described; along with a simple test...
In this paper, a novel theoretical model of data reduction and multivariate analysis is proposed. The Two-dimensional Factor Analysis is an extension of classical factor analysis in which the images are treated as matrices instead of being converted to unidimensional vectors. By maximally representing the correlation among the pixels, it is able to capture meaningful information about the spatial...
Bioresource utilization represents an important interdisciplinary research that integrates academic and industrial expertise across diverse scientific domains, including physics, chemistry, biology, and engineering. The present paper describes a cyber-infrastructure being created at the Brazilian Bioethanol Science and Technology Laboratory (CTBE) to assist scientists working on the field. One key...
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