🔔 2D Gaussian
How do the mean vector and covariance matrix control the position, spread, and orientation of a two-dimensional Gaussian?
Try changing the parameters below.
\[
p(\mathbf{x})=
\frac{1}{2\pi\sqrt{\det(\Sigma)}}
\exp\!\left[
-\frac{1}{2}(\mathbf{x}-\boldsymbol{\mu})^{T}
\Sigma^{-1}
(\mathbf{x}-\boldsymbol{\mu})
\right]
\]
μ =
0.00
0.00
Σ =
1.500.45
0.450.60
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