Reese's Erdnussbutter Cremig Peanut Butter 510grCode: 22759511
Reese's cremige Erdnussbutter mit einer außergewöhnlich glatten Textur.
Zusammen kaufen
Schokolade
Reese's Peanut Butter Cups White Schokolade Weiß Erdnussbutter Tartaki Glutenfrei 39Übersetzung: "gr" 1Stück
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Reese's Peanut Butter Cups Leckereien aus Schokolade Milch Erdnussbutter 42Übersetzung: "gr" 1Stück
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Reese's Peanut Butter & Caramel Schokolade Milch Erdnussbutter 47Übersetzung: "gr" 1Stück
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Müsliriegel
Από ΚΑΡυΔΙΑΣ Riegel Hafer mit Tahini & Johannisbrot Kein Zuckerzusatz (1x100gr) 100gr
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Aufstriche
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Ad von Mythic FlavorsHinzugefügtAufstriche
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Ad von Pure-NaturalHinzugefügt- Top bewertet
Aufstriche
Apo KARyDIAS Erdnussbutter Cremig Activemit Extra Protein 32% 3000gr
Ad von The Greek GroceryHinzugefügt Aufstriche
Rito's Food Pralinenaufstrich Sisinni Premium Creams ohne Zuckerzusatz mit Gianduja 380gr
Ad von Mythic FlavorsHinzugefügt- Top bewertet
- Top bewertet
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Rito's Food Pralinenaufstrich Sisinni Premium Creams mit Haselnuss & Stevia 380gr
Ad von Mythic FlavorsHinzugefügt Aufstriche
Rito's Food Pralinenaufstrich Sisinni Family Spreads mit Haselnuss & Milch 400gr
Ad von Mythic FlavorsHinzugefügt
Alle Geschäfte
Die Preise werden berechnet für:Deutschland, Andere Zahlungsoptionen
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Spezifikationen
Spezifikationen
- Tastaturen
- Erdnussbutter
- Menge
- 510 gr
- Knusprig
- Nein
Ernährungspräferenzen
- Bio-Produkt
- Nein
- Kein Zuckerzusatz
- Nein
Zusätzliche Spezifikationen
- mit Extra Protein
- Nein
- Vollkorn
- Nein
- Ungesalzen
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Wichtige Informationen
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tttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttttt{0x0000000000000000000000000000000000000000000000000000000000000000}
\begin{figure}[h]
\centering
\includegraphics[width=0.5\textwidth]{figs/fig3.png}
\caption{The 3D plot of the 2D Gaussian distribution $f(x,y)$ with $\mu = [0,0]^T$ and $\Sigma = \begin{bmatrix} 1 & 0 \\ 0 & 1 \end{bmatrix}$.}
\label{fig:2dgauss}
\end{figure}\begin{figure}[h]
\centering
\includegraphics[width=0.5\textwidth]{figs/fig4.png}
\caption{The 3D plot of the 2D Gaussian distribution $f(x,y)$ with $\mu = [0,0]^T$ and $\Sigma = \begin{bmatrix} 1 & 0.9 \\ 0.9 & 1 \end{bmatrix}$.}
\label{fig:2dgauss2}
\end{figure}\subsubsection{Multivariate Gaussian Distribution}
The multivariate Gaussian distribution is a generalization of the univariate Gaussian distribution to higher dimensions. The probability density function of the multivariate Gaussian distribution is given by:
\begin{equation}
p(x) = \frac{1}{\sqrt{(2\pi)^k \det(\Sigma)}} \exp\left(-\frac{1}{2}(x-\mu)^T \Sigma^{-1}(x-\mu)\right)
\end{equation}
where $x$ is a $k$-dimensional vector, $\mu$ is the mean vector, and $\Sigma$ is the covariance matrix. The covariance matrix is a symmetric positive definite matrix, and it is the generalization of the variance to higher dimensions. The covariance matrix has to be positive definite, which means that all eigenvalues of the matrix are positive. The covariance matrix $\Sigma$ is symmetric, so it can be diagonalized by an orthogonal matrix $Q$:
\begin{equation}
\Sigma = Q \Lambda Q^T
\end{equation}
where $\Lambda$ is a diagonal matrix with the eigenvalues of $\Sigma$ on the diagonal. The eigenvectors of $\Sigma$ are called the principal components of $X$. The first principal component is the eigenvector corresponding to the largest eigenvalue, the second principal component is the eigenvector corresponding to the second largest eigenvalue, and so on. The eigenvectors form an orthogonal basis for the space of the data. The eigenvalues represent the variance of the data along the corresponding eigenvector. The first principal component is the direction of the data with the largest variance, the second principal component is the direction with the second largest variance, and so on.\\\subsubsection{PCA for dimensionality reduction}
PCA can be used to reduce the dimensionality of the data. The idea is to project the data onto a lower-dimensional space, such that the projected data has the largest possible variance. The first principal component is the direction along which the data has the largest variance. The second principal component is the direction orthogonal to the first principal component along which the data has the second largest variance, and so on. The first $k$ principal components are the $k$ eigenvectors corresponding to the $k$ largest eigenvalues of the covariance matrix.\\For our case, we will use PCA to reduce the dimensionality of the data to 2 dimensions. We will then plot the data on a 2D scatter plot. We will use the first two principal components as the two
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