Man pages for ppclust
Probabilistic and Possibilistic Cluster Analysis

as.ppclustConvert object to 'ppclust' class
comp.omegaCompute the possibilistic penalty argument for PCM
crispCrisp the fuzzy membership degrees
ekmK-Means Clustering Using Different Seeding Techniques
fcmFuzzy C-Means Clustering
fcm2Type-2 Fuzzy C-Means Clustering
fpcmFuzzy Possibilistic C-Means Clustering
fpppcmFuzzy Possibilistic Product Partition C-Means Clustering
get.dmetricsList the names of distance metrics
ggGath-Geva Clustering Algorithm
gkGustafson-Kessel Clustering
gkpfcmGustafson-Kessel Clustering Using PFCM
hcmHard C-Means Clustering
is.ppclustCheck the class of object for 'ppclust'
mfpcmModified Fuzzy Possibilistic C-Means Clustering
pcaPossibilistic Clustering Algorithm
pcmPossibilistic C-Means Clustering
pcmrPossibilistic C-Means Clustering with Repulsion
pfcmPossibilistic Fuzzy C-Means Clustering Algorithm
plotclusterPlot Clustering Results
ppclust2Convert 'ppclust' objects to the other types of cluster...
ppclust-packageProbabilistic and Possibilistic Cluster Analysis
summary.ppclustSummarize the clustering results
upfcUnsupervised Possibilistic Fuzzy C-Means Clustering Algorithm
x12Synthetic data set of two variables
x16Synthetic data set of two variables forming two clusters
ppclust documentation built on Nov. 29, 2017, 5:01 p.m.