as.ppclust              Convert object to 'ppclust' class
comp.omega              Compute the possibilistic penalty argument for
                        PCM
crisp                   Crisp the fuzzy membership degrees
ekm                     K-Means Clustering Using Different Seeding
                        Techniques
fcm                     Fuzzy C-Means Clustering
fcm2                    Type-2 Fuzzy C-Means Clustering
fpcm                    Fuzzy Possibilistic C-Means Clustering
fpppcm                  Fuzzy Possibilistic Product Partition C-Means
                        Clustering
get.dmetrics            List the names of distance metrics
gg                      Gath-Geva Clustering Algorithm
gk                      Gustafson-Kessel Clustering
gkpfcm                  Gustafson-Kessel Clustering Using PFCM
hcm                     Hard C-Means Clustering
is.ppclust              Check the class of object for 'ppclust'
mfpcm                   Modified Fuzzy Possibilistic C-Means Clustering
pca                     Possibilistic Clustering Algorithm
pcm                     Possibilistic C-Means Clustering
pcmr                    Possibilistic C-Means Clustering with Repulsion
pfcm                    Possibilistic Fuzzy C-Means Clustering
                        Algorithm
plotcluster             Plot Clustering Results
ppclust-package         Probabilistic and Possibilistic Cluster
                        Analysis
ppclust2                Convert 'ppclust' objects to the other types of
                        cluster objects
summary.ppclust         Summarize the clustering results
upfc                    Unsupervised Possibilistic Fuzzy C-Means
                        Clustering Algorithm
x12                     Synthetic data set of two variables
x16                     Synthetic data set of two variables forming two
                        clusters
