Scatter matrix

For the notion in quantum mechanics, see scattering matrix.

In multivariate statistics and probability theory, the scatter matrix is a statistic that is used to make estimates of the covariance matrix, for instance of the multivariate normal distribution.

Definition

Given n samples of m-dimensional data, represented as the m-by-n matrix, X=[๐ฑ1,๐ฑ2,โ€ฆ,๐ฑn], the sample mean is

๐ฑโ€พ=1nโˆ‘j=1n๐ฑj

where ๐ฑj is the j-th column of X.

The scatter matrix is the m-by-m positive semi-definite matrix

S=โˆ‘j=1n(๐ฑjโˆ’๐ฑโ€พ)(๐ฑjโˆ’๐ฑโ€พ)T=โˆ‘j=1n(๐ฑjโˆ’๐ฑโ€พ)โŠ—(๐ฑjโˆ’๐ฑโ€พ)=(โˆ‘j=1n๐ฑj๐ฑjT)โˆ’n๐ฑโ€พ๐ฑโ€พT

where (โ‹…)T denotes matrix transpose, and multiplication is with regards to the outer product. The scatter matrix may be expressed more succinctly as

S=XCnXT

where Cn is the n-by-n centering matrix.

Application

The maximum likelihood estimate, given n samples, for the covariance matrix of a multivariate normal distribution can be expressed as the normalized scatter matrix

CML=1nS.

When the columns of X are independently sampled from a multivariate normal distribution, then S has a Wishart distribution.

See also

References

  1. โ†‘ Raghavan (2018-08-16). "Scatter matrix, Covariance and Correlation Explained". Medium. Retrieved 2022-12-28.
  2. โ†‘ Raghavan (2018-08-16). "Scatter matrix, Covariance and Correlation Explained". Medium. Retrieved 2022-12-28.
  3. โ†‘ Liu, Zhedong (April 2019). Robust Estimation of Scatter Matrix, Random Matrix Theory and an Application to Spectrum Sensing (PDF) (Master of Science). King Abdullah University of Science and Technology.