Machine Learning, Principal Component, Artificial Intelligence, Unsupervised Learning, Pca Analysis.
much information. For example, if we have a high-dimensional dataset with hundreds of features, it’s possible that just a handful of principal components explain a large portion of the variance (e.g., 90%). By using just these principal components, we reduce the complexity of the data, which can be