Researchers at Nanjing University of Science and Technology (NJUST) developed PCA-3DSIM, a mathematically grounded ...

To overcome these aforementioned issues, this paper proposes a distributed PCA algorithm termed FAST-PCA (Fast and exAct diSTributed PCA). The proposed algorithm is efficient in terms of communication ...

Learn how to use Cursor AI to debug faster, code smarter, and focus on building innovative solutions. Explore how AI coding ...

Results show that the PCA-PSO-LSSVM fault diagnosis model has a maximum fault recognition efficiency that is 10.4% higher than the other three models, the test sample classification time is reduced by ...

PCA is a technique for dimensionality reduction and data visualization that aims to find the most important underlying patterns in a dataset. python machine-learning analysis python-implementation ...

Principal component analysis (PCA) is an important method for dimensionality reduction in data science and machine learning. However, it is expensive for large matrices when only a few components are ...