Dimensionality reduction techniques like PCA work wonderfully when datasets are linearly separable—but they break down the moment nonlinear patterns appear. That’s exactly what happens with datasets ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Previous research has proven the efficiency of PCA in ...

% H = PCA_EXAMPLE_GUI_2D returns the handle to a new PCA_EXAMPLE_GUI_2D or the handle to % the existing singleton*. % PCA_EXAMPLE_GUI_2D('CALLBACK',hObject,eventData,handles,...) calls the local % ...

This is an archived article and the information in the article may be outdated. Please look at the time stamp on the story to see when it was last updated. INDIANAPOLIS – On the north side, an ...

ABSTRACT: Influenced by the development of international monetary system and the fi-nancial crisis, the promotion of CNY internationalization has gradually evolved into the dual needs of both domestic ...

This repository contains model data files and MATLAB scripts for predicting the Apparent Quantum Yield Matrix (AQY-M) of Chromophoric Dissolved Organic Matter (CDOM) photobleaching. It includes the ...

Abstract: Reinforcement learning is a core learning approach of machine learning in artificial intelligence, which has been widely used to realize the module of automatic path finding for robots.

Background: Multiparametric magnetic resonance imaging (mpMRI) plays an important role in the diagnosis of prostate cancer (PCa) in the current clinical setting. However, the performance of mpMRI ...

Abstract: In this paper, a practical comparison is performed between the use of the principal component analysis method (PCA) and the multidimensional scaling method (MDS) for image classification ...

ABSTRACT: In the process of deepening the supply-side reform, China’s economic operation has shown a good momentum of steady development, and consumption has begun to play a prominent role in ...