Probabilistic and Possibilistic Cluster Analysis

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Documentation for package ‘ppclust’ version 1.1.0.1

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

Help Pages

ppclust-package	Probabilistic and Possibilistic Cluster Analysis
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
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