FCM                     Fuzzy C-Means clustering model
PCM                     Possibilistic C-Means clustering model
SSFCM                   Semi-Supervised Fuzzy C-Means clustering model
SSPCM                   Semi-Supervised Possibilistic C-Means
                        clustering model
U_underimpact           Initialization matrix to analyze underimpact in
                        iris data.
calculate_evidence      Calculates data evidence matrix E from
                        distances matrix D.
dheve                   Creates DHE (stands for "distances horizontally
                        exploded") and DVE (stands for "distances
                        vertically exploded") matrices.
estimate_T              Estimated T matrix with typicalities in
                        unsupervised case.
estimate_U              Estimated U matrix with memberships in
                        semi-supervised case.
estimate_V              Equation to calculate clusters' prototypes
                        matrix \hat{V}.
estimate_super_T        Estimated T matrix with typicalities in
                        semi-supervised case.
gamma_fcm               Aggregates elements of DHE and DVE matrices in
                        a step to build evidence matrix E.
init_gamma              Initialization procedure to calculate values of
                        gamma hyperparameters.
predict.ssfcm           Predict method for 'ssfcm' objects
predict.sspcm           Predict method for 'sspcm' objects
superFstruct_underimpact
                        Binary supervision structure to reconstruct the
                        issue of underimpact of partial supervision.
xi_fcm                  Rearranges elements of input matrix from a
                        block matrix with vertical blocks (column
                        vectors) to a block matrix with horizontal
                        blocks (row vectors).
