IEEE

Empirical Study of Principal Component Analysis (PCA): A Comparison of Various Dimensionality Reduction Methods Based on the Wisconsin Breast Cancer and Fashion MNIST Datasets

Abstract: In the era of big data, dimensionality reduction is essential for addressing challenges posed by high-dimensional datasets. This paper empirically compares Principal Component Analysis (PCA) ...
IEEE

Cross-dimensional Principal Component Analysis-A New Dimensionality Reduction Method

Abstract: cross-dimensional principal component analysis (CD-PCA). It is based on the semi-tensor product of matrices theory (STP), where a new projection rule is introduced to reduce dimensionality ...
Tech Xplore

CRAFT printing method makes affordable, realistic replicas as structurally complex as a human hand

Researchers have developed a new method for 3D printing objects with very different properties, including levels of hardness ...