One of the major advantages of eigenvalue calculation is its ability to reduce the dimensions of a dataset, which in turn reduces the computations required to solve a given set of variables.

The eigenvector of a given vector is the vector that satisfies the following condition:

In the preceding equation, A is the matrix of our interest, v is the eigenvector, and λ is the eigenvalue of the given matrix.