Fuzzy Unsupervised and Semi-Supervised Clustering

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Documentation for package ‘fussclust’ version 0.1.0

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package NEWS
• Package README

Help Pages

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_super_T	Estimated T matrix with typicalities in semi-supervised case.
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}.
FCM	Fuzzy C-Means clustering model
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.
PCM	Possibilistic C-Means clustering model
predict.ssfcm	Predict method for 'ssfcm' objects
predict.sspcm	Predict method for 'sspcm' objects
SSFCM	Semi-Supervised Fuzzy C-Means clustering model
SSPCM	Semi-Supervised Possibilistic C-Means clustering model
superFstruct_underimpact	Binary supervision structure to reconstruct the issue of underimpact of partial supervision.
U_underimpact	Initialization matrix to analyze underimpact in iris data.
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).