Research Article
Symmetry Based Automatic Evolution of Clusters: A New Approach to Data Clustering
Table 2
(a) Average of adjusted Rand index for SBKM, MOCK, and MOLGC. (b) Standard deviation of adjusted Rand index for SBKM, MOCK, and MOLGC.
(a) |
| Data sets | Number of points | Number of dimensions | Number of clusters | Average value of adjusted Rand index | () | () | () | SBKM | MOCK | MOLGC |
| Data set-1 | 200 | 2 | 2 | 0.7585 | 0.9840 | 0.9845 | Data set-2 | 350 | 2 | 3 | 0.7491 | 0.9245 | 0.9515 | Data set-3 | 250 | 2 | 5 | 0.5158 | 0.9510 | 0.9910 | Data set-4 | 1000 | 2 | 4 | 0.8605 | 0.9815 | 0.9816 | Data set-5 | 838 | 10 | 4 | 0.7225 | 0.9862 | 0.9895 | Data set-6 | 3050 | 10 | 10 | 0.6585 | 0.9673 | 0.9795 | Data set-7 | 351 | 50 | 4 | 0.6775 | 1.0000 | 1.0000 | Data set-8 | 2328 | 50 | 10 | 0.6325 | 0.9950 | 0.9955 | Iris | 150 | 4 | 3 | 0.7685 | 0.9350 | 0.9810 | Cancer | 683 | 9 | 2 | 0.7877 | 0.9520 | 0.9740 | Wine | 178 | 13 | 3 | 0.6591 | 0.9575 | 0.9585 | Diabetes | 768 | 8 | 2 | 0.7111 | 0.9840 | 0.9910 |
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(b) |
| Data sets | Number of points | Number of dimensions | Number of clusters | Standard deviation of adjusted Rand index | () | () | () | SBKM | MOCK | MOLGC |
| Data set-1 | 200 | 2 | 2 | 0.075 | 0.040 | 0.035 | Data set-2 | 350 | 2 | 3 | 0.081 | 0.055 | 0.045 | Data set-3 | 250 | 2 | 5 | 0.090 | 0.078 | 0.050 | Data set-4 | 1000 | 2 | 4 | 0.121 | 0.095 | 0.055 | Data set-5 | 838 | 10 | 4 | 0.125 | 0.085 | 0.060 | Data set-6 | 3050 | 10 | 10 | 0.150 | 0.070 | 0.028 | Data set-7 | 351 | 50 | 4 | 0.175 | 0.075 | 0.041 | Data set-8 | 2328 | 50 | 10 | 0.190 | 0.090 | 0.035 | Iris | 150 | 4 | 3 | 0.080 | 0.036 | 0.022 | Cancer | 683 | 9 | 2 | 0.090 | 0.045 | 0.037 | Wine | 178 | 13 | 3 | 0.085 | 0.051 | 0.035 | Diabetes | 768 | 8 | 2 | 0.070 | 0.050 | 0.030 |
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