Mean Centering (MC) is an important data preprocessing technique, which has a wide
range of applications in data mining, machine learning, and multivariate statistical analysis …

Discriminative canonical correlation analysis (DCCA) is a powerful supervised feature
extraction technique for two sets of multivariate data, which has wide applications in pattern …

Computing eigenvalues of matrices is ubiquitous in numerical linear algebra problems.
Currently, fast quantum algorithms for estimating eigenvalues of Hermitian and unitary …

Quantum algorithms for estimating the eigenvalues of matrices, including the phase
estimation algorithm, serve as core subroutines in a wide range of quantum algorithms …

As a general framework, matrix exponential dimensionality reduction (MEDR) deals with the
small-sample-size problem that appears in linear dimensionality-reduction (DR) algorithms …

Block encoding is a data input model commonly used in a quantum computer. It is a
technique that embeds a matrix $ A $ satisfying $\left\| A\right\|\leq 1$ into a larger unitary …