Towards a Machine Learning Driven Trust Management Heuristic for the Internet of Vehicles

. 2023 Feb 20;23(4):2325. doi: 10.3390/s23042325

Algorithm 1 Labeling using Fuzzy C-means

Input: FM1/FM2

Output: Labels

1:
Initialize cluster centers $c_{1}$ , $c_{2}$ , ..., $c_{j}$
2:
for $j = 1 t o 2$ do
3:
Repeat until convergence: {
4:
Calculate the membership values $w_{i j}$
5:
$w_{i j} \leftarrow \frac{1}{\frac{| | X^{(i)} - c_{j} | |}{| | X^{(i)} - c_{k} | |}}$
6:
for $i = 1 t o n$ do
7:
$a^{(i)} \leftarrow a r g m i n_{c} w_{i j}^{m} | | {X^{(i)} - c_{j} | |}^{2}$
8:
end for
9:
}
10:
$K^{(j)} (a, c) \leftarrow a r g m i n_{j} K (a, c)$
11:
end for
12:
for $i = 1 t o n$ do
13:
if $a^{(i)}$ close to origin then
14:
$L a b e l s^{(i)} \leftarrow 1$
15:
else
16:
$L a b e l s^{(i)} \leftarrow 2$
17:
end if
18:
end for