IEEE

An LSTM Wind Power Prediction Model Based on PCA Dimensionality Reduction and Wavelet ...

Abstract: This paper introduces a wind power prediction method based on LSTM neural network. The method uses principal component analysis (PCA) to downscale climate data, and then uses wavelet ...
IEEE

Empirical Study of Principal Component Analysis (PCA): A Comparison of Various ...

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) ...
来自MSN

Visualizing high-dimensional data using PCA in Scikit-Learn

Simplify complex datasets using Principal Component Analysis (PCA) in Python. Great for dimensionality reduction and visualization. Gingrich: Time for 'national conversation' about immigrants living ...