\begin{table}%T4
\par
\caption{The confusion matrix for the Gaussian mixture method using $14$
variability classes and $28$ classification attributes. The last but one line
lists the total number of light curves (TOT) to define every class. The last
line lists the correct classification rate (CC) for every class separately. The
average correct classification rate is about $92\%$.}
\label{table4}
\tiny
%%\centering
\par
\begin{tabular}{lcccccccccccccc}
 \hline \hline
             &MIRA&SR&CLCEP&DMCEP&RRAB&RRC&RRD&DSCUT&BCEP&SPB&GDOR&EA &EB &EW\\ 
\hline MIRA  &140 &0  &3    &0     &0    &0   &0   &0     &0    &0   &0    &0   &0   &0  \\
 SR    &0    &36&0     &0     &0    &0   &0   &1    &0    &0   &0    &0   &0   &0  \\ 
 CLCEP &4   &1 &187  &0     &0    &0   &0   &0     &0    &0   &0    &0   &0   &0  \\ 
 DMCEP &0    &0  &0     &95   &0    &0   &0   &0     &0    &0   &0    &0   &0   &0  \\ 
 RRAB  &0    &0  &2    &0     &124 &0   &0   &2    &0    &0   &0    &0   &0   &0  \\ 
 RRC   &0    &0  &0     &0     &0    &29 &0   &4    &0    &0   &0    &0   &0   &0  \\ 
 RRD   &0    &0  &0     &0     &0    &0   &57 &0     &0    &0   &0    &0   &0   &0  \\ 
 DSCUT &0    &5 &3    &0     &5   &0   &0   &90   &0    &0   &0    &0   &0   &0  \\ 
 BCEP  &0    &0  &0     &0     &0    &0   &0   &30   &57  &0   &0    &0   &0   &0  \\ 
 SPB   &0    &0  &0     &0     &0    &0   &0   &0     &0    &47 &0    &0   &0   &0  \\ 
 GDOR  &0    &0  &0     &0     &0    &0   &0   &11    &1   &0   &35  &0   &0   &0  \\ 
 EA    &0    &0  &0     &0     &0    &0   &0   &1    &0    &0   &0    &161&17 &0  \\ 
 EB    &0    &0  &0     &0     &0    &0   &0   &0     &0    &0   &0    &5  &121&0  \\ 
 EW    &0    &0  &0     &0     &0    &0   &0   &0     &0    &0   &0    &3  &9  &59\\
 \hline TOT   &144 &42&195  &95   &129 &29 &57 &139  &58  &47 &35  &169&147&59\\
 CC(\%)&97  &86&96   &100  &96  &100&100&65   &98  &100&100 &95 &82 &100\\
\hline
\end{tabular}
\par
\end{table}