
이전에 이 코드를 게시한 적이 있습니다. 이제 내 요점을 명확하게 하기 위해 테이블 그림 전후에 표시한 것처럼 동일한 테이블에 두 개의 다중 열을 거꾸로 추가하고 싶습니다.
\documentclass[저널]{IEEEtran}
\usepackage{다중 콜}
\usepackage{다중 행}
\begin{테이블*}
\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*}
답변1
당신이 컴파일 가능한 mwe를 제공하지 않았기 때문에 나는내 대답이전 유사한 질문에 대해 "다중 단락" 다중 행 셀을 만드는 방법을 보여주는 원리를 보여줍니다. 그 안에서 "문단"은 명령을 통해서만 분리될 수 있습니다 \newline
. 그들 사이의 작은 수직 공간 때문에 \smallskip
`\newline 적절한 조치 앞에 광고가 있는 것 같습니다 .
\multirow{5}{=}{Correlation as Dimension Estimator,
PCA as Dimension Reduction\smallskip\newline
Add Multicol here\smallskip\newline
Add Multicol here
}
이것은 테이블에서 사용/추가하기가 간단해야 합니다. 내 경우 전체 mwe는 다음과 같습니다.
\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}
이는 다음을 제공합니다: