# VSFCM: A Novel Viewpoint-Driven Subspace Fuzzy C-Means Algorithm
## 4 Experimental Results
### UCI Data Sets
\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Data Sets** & **Algorithms** & **CH(+)** & **NMI(+)** & **EARI(+)** & **CR(+)** & **XB(\(-\))** \\ \hline \multirow{8}{*}{Iris} & V-FCM & 11.8364 & 0.8498 & 0.9312 & 0.9533 & 0.2786 \\  & DVPFCM & 11.8423 & 0.8705 & 0.9400 & 0.9600 & 0.2731 \\  & SCAD1 & 11.5894 & 0.7277 & 0.8712 & 0.8800 & 0.3205 \\  & ESSC & 11.6442 & 0.7578 & 0.8861 & 0.9000 & 0.3117 \\  & FRFCM & 11.6853 & 0.7665 & 0.8895 & 0.9067 & 0.2880 \\  & VSFCM & **12.1360** & **0.8801** & **0.9568** & **0.9667** & **0.2628** \\ \hline \multirow{8}{*}{Wireless Indoor} & V-FCM & 66.8676 & 0.8113 & 0.8730 & 0.9325 & 0.4845 \\  & DVPFCM & 67.0487 & 0.8117 & 0.8733 & 0.9330 & 0.4764 \\  & SCAD1 & 79.9004 & 0.8508 & 0.9478 & 0.9445 & 0.4262 \\ Localization & ESSC & 80.1303 & 0.8549 & 0.9494 & 0.9460 & 0.4240 \\  & FRFCM & 80.3587 & 0.8620 & 0.9529 & 0.9465 & 0.4113 \\  & VSFCM & **81.6420** & **0.8981** & **0.9658** & **0.9605** & **0.3988** \\ \hline \multirow{8}{*}{Wine} & V-FCM & 8.8531 & 0.6500 & 0.8598 & 0.8596 & 1.7169 \\  & DVPFCM & 12.3937 & 0.6748 & 0.8712 & 0.8708 & 1.5531 \\  & SCAD1 & 12.5666 & 0.7710 & 0.8728 & 0.9270 & 1.4794 \\  & ESSC & 12.8969 & 0.7710 & 0.8773 & 0.9270 & 1.2942 \\  & FRFCM & 13.3068 & 0.7955 & 0.9031 & 0.9382 & 1.2786 \\  & VSFCM & **14.4425** & **0.8212** & **0.9520** & **0.9494** & **1.2302** \\ \hline \multirow{8}{*}{Breast} & V-FCM & 73.4053 & 0.6555 & 0.8850 & 0.9385 & 0.3178 \\  & DVPFCM & 74.0104 & 0.6555 & 0.8850 & 0.9385 & 0.3146 \\  & SCAD1 & 108.1275 & 0.6320 & 0.9250 & 0.9297 & 0.2913 \\  & ESSC & 108.7064 & 0.6507 & 0.9400 & 0.9332 & 0.2903 \\  & FRFCM & 107.3007 & 0.6106 & 0.9244 & 0.9262 & 0.2940 \\  & VSFCM & **110.5897** & **0.7084** & **0.9825** & **0.9420** & **0.2779** \\ \hline \multirow{8}{*}{Seeds} & V-FCM & 16.0498 & 0.6423 & 0.8450 & 0.8762 & 0.6296 \\  & DVPFCM & 16.0668 & 0.6545 & 0.8478 & 0.8810 & 0.5999 \\  & SCAD1 & 16.1163 & 0.6654 & 0.8487 & 0.8857 & 0.2508 \\  & ESSC & 16.1378 & 0.6795 & 0.8580 & 0.8905 & 0.2493 \\  & FRFCM & 16.2337 & 0.7026 & 0.8601 & 0.8952 & 0.2280 \\  & VSFCM & **16.7541** & **0.7173** & **0.8745** & **0.9095** & **0.2269** \\ \hline \multirow{8}{*}{Ionosphere} & V-FCM & 19.9278 & 0.1036 & 0.4159 & 0.6809 & 0.7634 \\  & DVPFCM & 21.5964 & 0.1036 & 0.4180 & 0.6809 & 0.6566 \\  & SCAD1 & 32.2422 & **0.1320** & 0.4762 & **0.7094** & 0.4649 \\  & ESSC & 31.6597 & 0.1271 & 0.4732 & 0.7066 & 0.5057 \\  & FRFCM & 32.1711 & 0.1292 & 0.4738 & 0.7066 & 0.4804 \\  & VSFCM & **32.3488** & **0.1320** & **0.4764** & **0.7094** & **0.4635** \\ \hline \multirow{8}{*}{Letter Recognition (A, B)} & V-FCM & 155.3391 & 0.7197 & 0.8948 & 0.9408 & 0.6633 \\  & DVPFCM & 156.9256 & **0.7249** & 0.8965 & **0.9415** & 0.6561 \\  & SCAD1 & 195.6678 & 0.6655 & 0.9181 & 0.9293 & 0.6486 \\  & ESSC & 198.4907 & 0.7189 & 0.9353 & 0.9395 & 0.6352 \\  & FRFCM & 196.1744 & 0.6917 & 0.9288 & 0.9344 & 0.6390 \\  & VSFCM & **199.5879** & **0.7249** & **0.9385** & **0.9415** & **0.6333** \\ \hline \multirow{8}{*}{Aggregation} & V-FCM & 11.9580 & 0.9279 & 0.9755 & 0.9315 & 0.2790 \\  & DVPFCM & 11.9818 & 0.9350 & 0.9769 & 0.9365 & 0.2787 \\ \cline{1-1}  & SCAD1 & 11.8053 & 0.8666 & 0.9585 & 0.8985 & 0.2978 \\ \cline{1-1}  & ESSC & 11.9525 & 0.8991 & 0.9740 & 0.9061 & 0.2803 \\ \cline{1-1}  & FRFCM & 11.8163 & 0.9197 & 0.9805 & 0.9302 & 0.2763 \\ \cline{1-1}  & VSFCM & **12.0721** & **0.9460** & **0.9924** & **0.9429** & **0.2643** \\ \hline \multirow{8}{*}{Zoo} & V-FCM & 1.1496 & 0.7864 & 0.8973 & 0.6832 & 0.2878 \\ \cline{1-1}  & DVPFCM & 1.1752 & 0.8029 & 0.9357 & 0.7030 & 0.2528 \\ \cline{1-1}  & SCAD1 & 1.1858 & 0.8146 & 0.9672 & 0.7228 & 0.2636 \\ \cline{1-1}  & ESSC & 1.1915 & 0.8286 & 0.9795 & 0.7129 & 0.2493 \\ \cline{1-1}  & FFFCM & 1.2085 & 0.8319 & 0.9768 & 0.7228 & 0.2237 \\ \cline{1-1}  & VSFCM & **1.2194** & **0.8324** & **0.9807** & **0.7426** & **0.2170** \\ \hline \hline \end{tabular} The bold represents the best value among all algorithms, and the underlined represents the second best.  
\end{table}