Introduction
Introduction Principal Component Analysis (PCA) is a popular data analysis technique used to reduce the dimensionality of a dataset. It is widely used in many fields, including machine learning, computer vision, and bioinformatics. PCA is a statistical method that transforms a dataset into a new coordinate system, where the variables…
Introduction Introduction Principal Component Analysis (PCA) is a popular data analysis technique used to reduce the dimensionality of a dataset. It is widely used in many fields, including machine learning, computer vision, and bioinformatics. PCA is a statistical method that transforms a dataset into a new coordinate system, where the variables… deep-learning
Introduction Introduction Principal Component Analysis PCA popular data analysis technique used reduce dimensionality dataset widely used many field including machine learning computer vision bioinformatics PCA statistical method transforms dataset new coordinate system variables… deeplearning