dimensionality reduction

Curvilinear Component Analysis (CCA) is a powerful method for dimensionality reduction, preserving local data structure. Unlike PCA, it handles nonlinear relationships, vital for tasks like image compression, speech recognition, and data visualization. In business, CCA aids customer segmentation, fraud detection, and marketing analytics, enhancing decision-making and cost efficiency.