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Scatter matrix : ウィキペディア英語版
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=(), the sample mean is
:\overline\sum_^n \mathbf_j
where \mathbf_j is the ''j''th column of X\,.
The scatter matrix is the ''m''-by-''m'' positive semi-definite matrix
:S = \sum_^n (\mathbf_j-\overline_j-\overline^n (\mathbf_j-\overline_j-\overline^n \mathbf_j \mathbf_j^T \right) - n \overline}^T
where T denotes matrix transpose, and multiplication is with regards to the outer product. The scatter matrix may be expressed more succinctly as
:S = X\,C_n\,X^T
where \,C_n is the ''n''-by-''n'' centering matrix.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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