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 ...
Geeky Gadgets

Copilot Excel AI Beginners Guide: Faster Cleaning, Smart Analysis, Python Insights

Have you ever wished Excel could do more of the heavy lifting for you? Imagine transforming hours of tedious data cleaning and analysis into just a few clicks. That’s exactly what Microsoft’s ...