start cleanup after writing thesis
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LaTeX/main.bib
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LaTeX/main.bib
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LaTeX/paper.tex
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LaTeX/paper.tex
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@ -1,7 +1,7 @@
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%%% R code to generate the input data files from corresponding simulation logs
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%%% R code to generate the input data files from corresponding simulation logs
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% R> setwd("~/Work/tensorPredictors")
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% R> setwd("~/Work/tensorPredictors")
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% R>
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% R>
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% R> for (sim.name in c("2a")) {
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% R> for (sim.name in c("2a", "2b", "2c", "2d")) {
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% R> pattern <- paste0("sim\\_", sim.name, "\\_ising\\-[0-9T]*\\.csv")
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% R> pattern <- paste0("sim\\_", sim.name, "\\_ising\\-[0-9T]*\\.csv")
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% R> log.file <- sort(
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% R> log.file <- sort(
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% R> list.files(path = "sim/", pattern = pattern, full.names = TRUE),
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% R> list.files(path = "sim/", pattern = pattern, full.names = TRUE),
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@ -66,7 +66,7 @@
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\addplot[color = clpca] table[x = sample.size, y = dist.subspace.clpca] {aggr-2a-ising.csv};
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\addplot[color = clpca] table[x = sample.size, y = dist.subspace.clpca] {aggr-2a-ising.csv};
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\end{axis}
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\end{axis}
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\node[anchor = base west, yshift = 0.3em] at (sim-2a.north west) {
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\node[anchor = base west, yshift = 0.3em] at (sim-2a.north west) {
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a: small
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a: linear dependence on $\mathcal{F}_y \equiv y$
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};
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};
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\begin{axis}[
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\begin{axis}[
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name=sim-2b,
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name=sim-2b,
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@ -83,7 +83,7 @@
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\addplot[color = clpca] table[x = sample.size, y = dist.subspace.clpca] {aggr-2b-ising.csv};
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\addplot[color = clpca] table[x = sample.size, y = dist.subspace.clpca] {aggr-2b-ising.csv};
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\end{axis}
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\end{axis}
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\node[anchor = base west, yshift = 0.3em] at (sim-2b.north west) {
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\node[anchor = base west, yshift = 0.3em] at (sim-2b.north west) {
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b:
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b: quadratic dependence on $y$
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};
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};
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\begin{axis}[
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\begin{axis}[
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name=sim-2c,
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name=sim-2c,
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@ -99,7 +99,7 @@
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\addplot[color = clpca] table[x = sample.size, y = dist.subspace.clpca] {aggr-2c-ising.csv};
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\addplot[color = clpca] table[x = sample.size, y = dist.subspace.clpca] {aggr-2c-ising.csv};
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\end{axis}
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\end{axis}
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\node[anchor = base west, yshift = 0.3em] at (sim-2c.north west) {
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\node[anchor = base west, yshift = 0.3em] at (sim-2c.north west) {
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c:
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c: rank 1 $\boldsymbol{\beta}$'s
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};
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};
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\begin{axis}[
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\begin{axis}[
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@ -116,83 +116,21 @@
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\addplot[color = clpca] table[x = sample.size, y = dist.subspace.clpca] {aggr-2d-ising.csv};
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\addplot[color = clpca] table[x = sample.size, y = dist.subspace.clpca] {aggr-2d-ising.csv};
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\end{axis}
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\end{axis}
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\node[anchor = base west, yshift = 0.3em] at (sim-2d.north west) {
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\node[anchor = base west, yshift = 0.3em] at (sim-2d.north west) {
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d:
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d: interaction constraints via $\boldsymbol{\Omega}$'s
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};
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};
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% \begin{axis}[
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% name=sim-1b,
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% anchor=north west, at={(sim-2a.right of north east)}, xshift=0.1cm,
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% xticklabel=\empty,
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% ylabel near ticks, yticklabel pos=right
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% ]
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% \addplot[color = pca] table[x = sample.size, y = dist.subspace.pca] {aggr-1b-normal.csv};
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% \addplot[color = hopca] table[x = sample.size, y = dist.subspace.hopca] {aggr-1b-normal.csv};
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% \addplot[color = tsir] table[x = sample.size, y = dist.subspace.tsir] {aggr-1b-normal.csv};
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% \addplot[color = mgcca] table[x = sample.size, y = dist.subspace.mgcca] {aggr-1b-normal.csv};
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% \addplot[color = gmlm, line width=1pt] table[x = sample.size, y = dist.subspace.gmlm] {aggr-1b-normal.csv};
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% \end{axis}
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% \node[anchor = base west, yshift = 0.3em] at (sim-1b.north west) {
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% b: cubic dependence on $y$
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% };
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% \begin{axis}[
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% name=sim-1c,
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% anchor=north west, at={(sim-2a.below south west)}, yshift=-.8em,
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% xticklabel=\empty
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% ]
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% \addplot[color = pca] table[x = sample.size, y = dist.subspace.pca] {aggr-1c-normal.csv};
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% \addplot[color = hopca] table[x = sample.size, y = dist.subspace.hopca] {aggr-1c-normal.csv};
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% \addplot[color = tsir] table[x = sample.size, y = dist.subspace.tsir] {aggr-1c-normal.csv};
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% \addplot[color = mgcca] table[x = sample.size, y = dist.subspace.mgcca] {aggr-1c-normal.csv};
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% \addplot[color = gmlm, line width=1pt] table[x = sample.size, y = dist.subspace.gmlm] {aggr-1c-normal.csv};
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% \end{axis}
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% \node[anchor = base west, yshift = 0.3em] at (sim-1c.north west) {
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% c: rank $1$ $\boldsymbol{\beta}$'s
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% };
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% \begin{axis}[
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% name=sim-1d,
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% anchor=north west, at={(sim-1c.right of north east)}, xshift=0.1cm,
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% ylabel near ticks, yticklabel pos=right
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% ]
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% \addplot[color = pca] table[x = sample.size, y = dist.subspace.pca] {aggr-1d-normal.csv};
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% \addplot[color = hopca] table[x = sample.size, y = dist.subspace.hopca] {aggr-1d-normal.csv};
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% \addplot[color = tsir] table[x = sample.size, y = dist.subspace.tsir] {aggr-1d-normal.csv};
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% \addplot[color = mgcca] table[x = sample.size, y = dist.subspace.mgcca] {aggr-1d-normal.csv};
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% \addplot[color = gmlm, line width=1pt] table[x = sample.size, y = dist.subspace.gmlm] {aggr-1d-normal.csv};
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% \end{axis}
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% \node[anchor = base west, yshift = 0.3em] at (sim-1d.north west) {
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% d: tri-diagonal $\boldsymbol{\Omega}$'s
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% };
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% \begin{axis}[
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% name=sim-1e,
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% anchor=north west, at={(sim-1c.below south west)}, yshift=-.8em
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% ]
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% \addplot[color = pca] table[x = sample.size, y = dist.subspace.pca] {aggr-1e-normal.csv};
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% \addplot[color = hopca] table[x = sample.size, y = dist.subspace.hopca] {aggr-1e-normal.csv};
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% \addplot[color = tsir] table[x = sample.size, y = dist.subspace.tsir] {aggr-1e-normal.csv};
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% \addplot[color = mgcca] table[x = sample.size, y = dist.subspace.mgcca] {aggr-1e-normal.csv};
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% \addplot[color = gmlm, line width=1pt] table[x = sample.size, y = dist.subspace.gmlm] {aggr-1e-normal.csv};
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% \end{axis}
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% \node[anchor = base west, yshift = 0.3em] at (sim-1e.north west) {
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% e: missspecified
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% };
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\matrix[anchor = west] at (sim-2a.right of east) {
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\draw[color=gmlm, legend entry, line width=1pt] plot coordinates {(0, 0) (.3, 0) (.6, 0)}; & \node[anchor=west] {GMLM}; \\
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\draw[color=tsir, legend entry] plot coordinates {(0, 0) (.3, 0) (.6, 0)}; & \node[anchor=west] {TSIR}; \\
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\draw[color=mgcca, legend entry] plot coordinates {(0, 0) (.3, 0) (.6, 0)}; & \node[anchor=west] {MGCCA}; \\
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\draw[color=hopca, legend entry] plot coordinates {(0, 0) (.3, 0) (.6, 0)}; & \node[anchor=west] {HOPCA}; \\
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\draw[color=pca, legend entry] plot coordinates {(0, 0) (.3, 0) (.6, 0)}; & \node[anchor=west] {PCA}; \\
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\draw[color=lpca, legend entry] plot coordinates {(0, 0) (.3, 0) (.6, 0)}; & \node[anchor=west] {LPCA}; \\
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\draw[color=clpca, legend entry] plot coordinates {(0, 0) (.3, 0) (.6, 0)}; & \node[anchor=west] {CLPCA}; \\
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};
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\node[anchor = north] at (current bounding box.south) {Sample Size $n$};
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\node[anchor = north] at (current bounding box.south) {Sample Size $n$};
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\matrix[anchor = north] at (current bounding box.south) {
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\draw[color=gmlm, legend entry, line width=1pt] plot coordinates {(0, 0) (.3, 0) (.6, 0)}; & \node[anchor=west] {GMLM}; &
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\draw[color=tsir, legend entry] plot coordinates {(0, 0) (.3, 0) (.6, 0)}; & \node[anchor=west] {TSIR}; &
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\draw[color=mgcca, legend entry] plot coordinates {(0, 0) (.3, 0) (.6, 0)}; & \node[anchor=west] {MGCCA}; &
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\draw[color=hopca, legend entry] plot coordinates {(0, 0) (.3, 0) (.6, 0)}; & \node[anchor=west] {HOPCA}; &
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\draw[color=pca, legend entry] plot coordinates {(0, 0) (.3, 0) (.6, 0)}; & \node[anchor=west] {PCA}; &
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\draw[color=lpca, legend entry] plot coordinates {(0, 0) (.3, 0) (.6, 0)}; & \node[anchor=west] {LPCA}; &
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\draw[color=clpca, legend entry] plot coordinates {(0, 0) (.3, 0) (.6, 0)}; & \node[anchor=west] {CLPCA}; \\
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};
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\node[anchor = south, rotate = 90] at (current bounding box.west) {Subspace Distance $d(\boldsymbol{B}, \hat{\boldsymbol{B}})$};
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\node[anchor = south, rotate = 90] at (current bounding box.west) {Subspace Distance $d(\boldsymbol{B}, \hat{\boldsymbol{B}})$};
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\node[anchor = south, rotate = 270] at (current bounding box.east) {\phantom{Subspace Distance $d(\boldsymbol{B}, \hat{\boldsymbol{B}})$}};
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\node[anchor = south, rotate = 270] at (current bounding box.east) {\phantom{Subspace Distance $d(\boldsymbol{B}, \hat{\boldsymbol{B}})$}};
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