R: Fuzzy Unsupervised and Semi-Supervised Clustering

# Fuzzy Unsupervised and Semi-Supervised Clustering

## Documentation for package ‘fussclust’ version 0.1.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## 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).