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. 2019 Oct 22;9(10):289. doi: 10.3390/brainsci9100289
Algorithm 2: PFCM Pseudo-Code
Let X={xj} the vectors of voxels, U={μij} the matrix of membership degrees, T={tij} the matrix of typicality degrees, B={bij} the matrix of cluster centers with 1iC,1jN. m the degree of fuzzy and η the degree of weight possibilistic.
  1. Initialize the centers vectors B(0) = [bj] and the degrees of belonging matrix U(0) using hybrid BCFCM-GA method.

  2. At k-step:
    • -
      Compute the matrix of membership degrees U(k) using Equation (9).
    • -
      Compute the matrix of typicality degrees T(k) using Equation (10).
    • -
      Compute the prototype matrix B(k) using Equation (11).
    • -
      Compute the objective function JPFCM(k) using Equation (8).
  3. Update: U(k+1), T(k+1), B(k+1) and JPFCM(k+1)

  4. Repeat steps (2) and (3) until the stop criterion is met: JPFCM(k+1)JPFCM(k)<ε