我之前发布过此代码。现在我想将两个多列倒置添加到同一个表中,就像我在表格图片前后标记的那样,以明确我的观点
\documentclass[期刊]{IEEEtran}
\usepackage{多列}
\usepackage{多行}
\开始{表格*}
\settowidth\rotheadsize{DIMENSIONS}
\renewcommand\multirowsetup{\centering}
\renewcommand{\arraystretch}{1.5}
\centering
\caption{Extreme Learning Machine(ELM) with kernel classifier accuracy of
combine reduced feature vectors whose individual classifier accuracy was low}
\begin{tabular}{|l|l| c |C{2.5cm}| c |C{2.5cm}|C{2cm}|C{2.5cm}|}
\hline
Algorithm
& Dimension
& \multirow{6}{*}{\rothead{ADD THESE\\ DIMENSIONS}}
& Total after Adding Dimensions
& Classifier
& Dimension Reduction Technique
& Reduced Dimension
& Accuracy \\
\cline{1-2} \cline{4-8}
LBP & 4D &
& \multirow{5}{=}{4D + 6D + 4D\\ + 3D + 4D = 21D}
& ELM
& \multirow{5}{=}{Eigenvalue as Dimension Estimator,
PCA as Dimension Reduction}
& \multirow{5}{=}{21 dimensions reduced to
dimensions}
& \multirow{5}{=}{Combine accuracy of 9
dimensional
reduced Feature Vector is
again 80\%} \\
\cline{1-2} \cline{5-5}
RGLBP & 6D & & & ELM & & & \\
\cline{1-2} \cline{5-5}
BDIP & 4D & & & ELM & & & \\
\cline{1-2} \cline{5-5}
HOG & 3D & & & ELM & & & \\
\cline{1-2} \cline{5-5}
Combine and reduced & 4D & & & ELM & & & \\
fv of poor individual & & & & & & & \\
accuracy algorithms & & & & & & & \\
\hline
\end{tabular}
\label{table:table6}
\end{table*}
答案1
由于您不提供可编译的 mwe,我使用我的答案对于您之前的类似问题,展示了如何制作“多段落”多行单元格的原理。在其中,“段落”可以用\newline
命令(仅)在其自身之间分开。对于它们之间的小垂直空间似乎是 \smallskip
在`\newline 之前的广告适当的措施:
\multirow{5}{=}{Correlation as Dimension Estimator,
PCA as Dimension Reduction\smallskip\newline
Add Multicol here\smallskip\newline
Add Multicol here
}
这应该很容易使用/添加到您的表中,对于我来说,完整的 mwe 是:
\documentclass[journal]{IEEEtran}
%\usepackage{array} % loaded twice
\usepackage{multicol}
\usepackage{graphicx}
\usepackage{rotating}% added, for rothead
\usepackage{array, makecell, multirow, tabu}{\centering\let\newline\\\arraybackslash\hspace{0pt}}m{#1}}
\newcolumntype{C}[1]{>{\centering\arraybackslash}m{#1}}% in this table is better use this definition
\begin{document}
\begin{table*}
\settowidth\rotheadsize{DIMENSIONS}
\renewcommand\multirowsetup{\centering}
\renewcommand{\arraystretch}{1.5}
\centering
\caption{Extreme Learning Machine(ELM) with kernel classifier having reduced dimension of feature vectors individual accuracy}
\begin{tabular}{|l|l|c|C{2.5cm}|c|C{2.5cm}|C{2cm}|C{2.5cm}|}
\hline
Algorithm
& Dimension
& \multirow{6}{*}{\rothead{ADD THESE\\ DIMENSIONS}}
& Total after Adding Dimensions
& Classifier
& Dimension Reduction Technique
& Reduced Dimension
& Accuracy \\
\cline{1-2} \cline{4-8}
CDF & 4D &
& \multirow{5}{=}{4D + 4D + 4D\\ + 7D + 7D = 26D}
& ELM
& \multirow{5}{=}{Correlation as Dimension Estimator,
PCA as Dimension Reduction\smallskip\newline
Add Multicol here\smallskip\newline
Add Multicol here
}
& \multirow{5}{=}{26 dimensions reduced to 4 dimensions}
& \multirow{5}{=}{Combine accuracy of 4 dimensional
reduced Feature Vector is 68\%\smallskip\newline
Add Multicol here\smallskip\newline
Add Multicol here
} \\
\cline{1-2} \cline{5-5}
GO & 4D & & & ELM & & & \\
\cline{1-2} \cline{5-5}
Bilateral & 4D & & & ELM & & & \\
\cline{1-2} \cline{5-5}
SLDFFO & 7D & & & ELM & & & \\
\cline{1-2} \cline{5-5}
SSGSM & 7D & & & ELM & & & \\
\hline
\end{tabular}
\end{table*}
\end{document}
这使: