Algorithm 2 TSVDD algorithm

Input: Training dataset Train

Testing dataset: Test = {x1, x2, …, xn}

Process:

1: Derive the decision model f of SVDD use training dataset;

2: While (Test ≠ φ) do

3:  if f(xi) > 0, (i = 1, 2, …, n)

4:   xi is marked as an outlier;

5:  else

6:   xi is marked as an adequate sample;

7:  end if;

8: end while;

Output: the outlier set