A Novel Clustering Algorithm Inspired by Membrane Computing

Table 3

The results obtained by the algorithms for 50 runs on the ten data sets.

Data set	P systems	GA	PSO	ACO	-means
AD_5_2	326.44 ± 0.0105	332.31 ± 0.4792	326.44 ± 0.0128	326.45 ± 0.0344	332.47 ± 3.1286
Data_9_2	591.06 ± 0.0280	593.72 ± 0.2635	591.14 ± 0.0303	591.42 ± 0.0372	623.57 ± 3.1326
Square_4	2379.74 ± 0.0189	2380.33 ± 0.6319	2379.74 ± 0.0226	2379.79 ± 0.0428	2386.00 ± 4.5217
Sym_3_22	1247.72 ± 0.0105	1249.36 ± 1.2163	1247.72 ± 0.0149	1247.75 ± 0.0315	1255.45 ± 3.8725
Iris	96.75 ± 0.0428	99.83 ± 5.5239	97.23 ± 0.3513	97.25 ± 0.4152	104.11 ± 12.4563
BreastCancer	2970.24 ± 1.1225	3249.26 ± 229.734	3050.04 ± 110.801	3046.06 ± 90.500	3251.21 ± 251.143
Newthyroid	1869.29 ± 0.9215	1875.11 ± 13.5834	1872.51 ± 11.0923	1872.56 ± 11.1045	1886.25 ± 16.2189
LungCancer	124.69 ± 0.0011	129.52 ± 4.4961	127.23 ± 1.1528	127.31 ± 1.2936	139.40 ± 7.3136
Wine	16292.25 ± 0.1529	16298.42 ± 2.1523	16292.25 ± 0.1531	16292.25 ± 0.1672	16312.43 ± 9.4269
LiveDisorder	9851.73 ± 0.0347	9856.14 ± 1.9523	9851.73 ± 0.0356	9851.74 ± 0.0692	9868.32 ± 7.9274