Description: A transformation matrix is a mathematical tool used to perform linear transformations on a dataset. In the context of data preprocessing, these matrices allow for the modification and scaling of data to make it more suitable for analysis or modeling. In various applications, transformation matrices are essential for aligning and manipulating data in a physical or multidimensional space, ensuring that transformations such as scaling, rotation, and translation are applied correctly. From a mathematical standpoint, a transformation matrix can represent operations such as rotations, scalings, and translations in a multidimensional space. In the field of data anonymization, these matrices can be used to modify sensitive data in a way that maintains the utility of the information while protecting individuals’ privacy. In summary, transformation matrices are fundamental across various disciplines, facilitating the manipulation and analysis of data efficiently and effectively.
