Machine Learning, Principal Component, Artificial Intelligence, Unsupervised Learning, Pca Analysis.
especially in datasets with many dimensions, where not all features contribute significantly to the variance. By focusing on a few principal components that capture the most variance, we can achieve significant savings in terms of computational resources and simplify the analysis without losing too