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README.md

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Updated README.md
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Ethan Smith-Coss 2025-05-30 23:51:17 +01:00
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@ -10,7 +10,7 @@ expressions:
$$
\mathbf{Y} = \mathbb{KLT}\{\mathbf{X}\},
C = \frac{1}{n-1}\mathbf{X}*\mathbf{X},
\mathbf{V}^{-1}\matbf{C}\mathbf{V} = \mathbf{D},
\mathbf{V}^{-1}\mathbf{C}\mathbf{V} = \mathbf{D},
\mathit{W} \subset \mathit{V},
T = \mathbf{B} \cdot \mathbf{W}.
$$
@ -20,5 +20,8 @@ $\mathit{W}$ which is a subset of eigenvectors, explicitly or intuitively
selected. Matrix $\mathbf{T}$ is the newly reduced data with an explained
variance ratio $\lt1.0$, though typically very high.
For further information, or if the $\LaTeX$ does not render properly or in full,
see [Principal Component Analysis](https://en.wikipedia.org/wiki/Principal_component_analysis#Computation_using_the_covariance_method)
The source code is built entirely on the GNU GSL (2.7) library, to
utilise BLAS optimised functionality.