## 4 Results and Discussion
### Real-World Multiplex Networks
#### 4.2.1 Real-World Multiplex Networks Clustering
\begin{table}
\begin{tabular}{c c c c c c c c c c c c} \hline \hline
**Network** & **Metric** & **CentroidCoreg** & **PM** & **RMSC** & **SCML** & **CSNMF** & **CPNMF** & **CSNMTF** & **DiMMA** & **2 CMV** & **Mx-CRTA** \\ \hline
**NRC** & **ACC** & 0.426 & 0.419 & 0.455 & 0.441 & 0.416 & 0.439 & 0.384 & 0.375 & 0.412 & **0.541** \\ \(\gamma=0.03\) & **NMI** & 0.352 & 0.368 & 0.371 & 0.387 & 0.333 & 0.148 & 0.275 & 0.297 & 0.336 & **0.544** \\ \(\lambda=0.008\) & **AR** & 0.208 & 0.153 & 0.216 & 0.218 & 0.153 & 0.027 & 0.121 & 0.147 & 0.194 & **0.331** \\  & **F-score** & 0.337 & 0.419 & 0.358 & 0.357 & 0.312 & 0.302 & 0.296 & 0.286 & 0.314 & **0.448** \\ \hline
**CKM** & **ACC** & 0.983 & 0.479 & 0.947 & 0.987 & 0.991 & 0.317 & 0.987 & 0.605 & 0.836 & **1.00** \\ \(\gamma=0.04\) & **NMI** & 0.948 & 0.032 & 0.821 & 0.958 & 0.821 & 0.017 & 0.963 & 0.472 & 0.778 & **1.00** \\ \(\lambda=0.1\) & **AR** & 0.975 & 0.010 & 0.825 & 0.980 & 0.851 & 0.009 & 0.979 & 0.215 & 0.794 & **1.00** \\  & **F-score** & 0.983 & 0.483 & 0.866 & 0.986 & 0.990 & 0.280 & 0.985 & 0.491 & 0.812 & **1.00** \\ \hline
**C. Elegans** & **ACC** & 0.419 & 0.369 & 0.301 & 0.401 & 0.322 & 0.369 & 0.333 & 0.290 & 0.286 & **0.438** \\ \(\gamma=0.01\) & **NMI** & 0.432 & 0.427 & 0.303 & 0.448 & 0.442 & 0.382 & 0.461 & 0.341 & 0.334 & **0.509** \\ \(\lambda=0.02\) & **AR** & 0.183 & 0.217 & 0.124 & 0.184 & 0.219 & 0.157 & 0.157 & 0.095 & 0.077 & **0.270** \\  & **F-score** & **0.433** & 0.332 & 0.266 & 0.402 & 0.275 & 0.313 & 0.293 & 0.207 & 0.201 & 0.362 \\ \hline
**Cora** & **ACC** & 0.982 & 0.979 & 0.503 & 0.979 & 0.603 & 0.442 & 0.508 & 0.455 & 0.507 & **1.00** \\ \(\gamma=0.04\) & **NMI** & 0.981 & 0.906 & 0.528 & 0.906 & 0.476 & 0.123 & 0.447 & 0.354 & 0.441 & **1.00** \\ \(\lambda=0.1\) & **AR** & 0.949 & 0.399 & 0.389 & 0.939 & 0.356 & 0.065 & 0.353 & 0.176 & 0.337 & **1.00** \\  & **F-score** & 0.966 & 0.959 & 0.592 & 0.959 & 0.620 & 0.473 & 0.579 & 0.533 & 0.569 & **1.00** \\ \hline
**BBCSport** & **ACC** & 0.768 & 0.527 & 0.902 & 0.742 & 0.279 & 0.237 & 0.292 & 0.459 & 0.721 & **0.996** \\ \(\gamma=0.3\) & **NMI** & 0.604 & 0.337 & 0.835 & 0.563 & 0.031 & 0.006 & 0.025 & 0.193 & 0.656 & **0.989** \\ \(\lambda=0.02\) & **AR** & 0.552 & 0.179 & 0.853 & 0.494 & 0.004 & 0.001 & 0.011 & 0.088 & 0.599 & **0.996** \\  & **F-score** & 0.659 & 0.474 & 0.889 & 0.616 & 0.235 & 0.216 & 0.234 & 0.406 & 0.699 & **0.997** \\ \hline
**Wikipedia** & **ACC** & 0.565 & 0.551 & 0.546 & 0.568 & 0.574 & 0.216 & 0.572 & 0.341 & 0.398 & **0.583** \\ \(\gamma=0.04\) & **NMI** & 0.477 & 0.488 & 0.346 & 0.493 & 0.527 & 0.030 & 0.525 & 0.309 & 0.425 & 0.573 \\ \(\lambda=0.5\) & **AR** & 0.399 & 0.405 & 0.223 & 0.412 & 0.404 & 0.003 & **0.450** & 0.058 & 0.215 & 0.437 \\  & **F-score** & 0.492 & 0.419 & 0.482 & 0.492 & 0.437 & 0.141 & 0.449 & 0.216 & 0.324 & **0.505** \\ \hline
**COIL20** & **ACC** & 0.698 & 0.551 & 0.732 & 0.681 & 0.648 & 0.096 & 0.662 & 0.657 & 0.633 & **0.744** \\ \(\gamma=0.1\) & **NMI** & 0.796 & 0.732 & 0.812 & 0.806 & 0.786 & 0.041 & 0.750 & 0.752 & 0.769 & **0.831** \\ \(\lambda=0.1\) & **AR** & 0.