Table 2: Confusion matrices, size groups, estimates of the parameters, variability measures (between-groups and within-groups) and F-statistic for the EM algorithm (soft-movMF, hard-movMF, stochastic EM) and dynamic clusters algorithm (DC), for the sample size of 40 and concentrations equal to 5 (*: the results for the other three methods are equal).
| θ (°) |
Algorithm |
Group |
Conf. Matrix |
ni
|
 |
 |
Bet./With. |
F |
| 1 |
2 |
| 30 |
Soft-movMF |
1 |
17 |
3 |
28 |
4.4 |
43.1 |
20.4/33.2 |
23.3 |
| 2 |
11 |
9 |
12 |
9.4 |
| Hard-movMF |
1 |
11 |
9 |
20 |
5.8 |
56.4 |
28.8/40.0 |
27.4 |
| 2 |
9 |
11 |
20 |
9.4 |
| DC |
1 |
13 |
7 |
20 |
9.0 |
53.9 |
24.2/40.0 |
23.0 |
| 2 |
7 |
13 |
20 |
5.3 |
| 90 |
Soft-movMF* |
1 |
20 |
0 |
20 |
6.1 |
110.4 |
89.0/40.0 |
84.6 |
| 2 |
0 |
20 |
20 |
6.3 |
| 150 |
Soft-movMF* |
1 |
20 |
0 |
20 |
5.9 |
77.9 |
126.7/39.6 |
121.7 |
| 2 |
0 |
20 |
20 |
4.5 |