Data Science, Machine Learning, Artificial Intelligence, Technology, Data Mining.
large, hence drowning out the noise. By reconstructing the data using only the significant principal components, PCA effectively filters out the noise, leading to cleaner, more interpretable data. Applicability in Real-World Scenarios Image Processing: In image processing, PCA is used for tasks