bannerplot
(Package: cluster) :
Plot Banner (of Hierarchical Clustering)
Draws a “banner”, i.e. basically a horizontal barplot visualizing the (agglomerative or divisive) hierarchical clustering or an other binary dendrogram structure.
● Data Source:
CranContrib
● Keywords: cluster, hplot, utilities
● Alias: bannerplot
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plot.mona
(Package: cluster) :
Banner of Monothetic Divisive Hierarchical Clusterings
Creates the banner of a mona object.
● Data Source:
CranContrib
● Keywords: cluster, hplot
● Alias: plot.mona
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clara.object
(Package: cluster) :
Clustering Large Applications (CLARA) Object
The objects of class "clara" represent a partitioning of a large dataset into clusters and are typically returned from clara.
● Data Source:
CranContrib
● Keywords: cluster
● Alias: clara.object
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silhouette
(Package: cluster) :
Compute or Extract Silhouette Information from Clustering
Compute silhouette information according to a given clustering in k clusters.
● Data Source:
CranContrib
● Keywords: cluster
● Alias: plot.silhouette, print.summary.silhouette, silhouette, silhouette.clara, silhouette.default, silhouette.partition, sortSilhouette, summary.silhouette
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Internal cluster functions.
● Data Source:
CranContrib
● Keywords: internal
● Alias: meanabsdev
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print.pam
(Package: cluster) :
Print Method for PAM Objects
Prints the medoids, clustering vector and objective function of pam object.
● Data Source:
CranContrib
● Keywords: cluster, print
● Alias: print.pam
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daisy
(Package: cluster) :
Dissimilarity Matrix Calculation
Compute all the pairwise dissimilarities (distances) between observations in the data set. The original variables may be of mixed types. In that case, or whenever metric = "gower" is set, a generalization of Gower's formula is used, see ‘Details’ below.
● Data Source:
CranContrib
● Keywords: cluster
● Alias: daisy
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The objects of class "partition" represent a partitioning of a dataset into clusters.
● Data Source:
CranContrib
● Keywords: cluster
● Alias: partition, partition.object
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plot.diana
(Package: cluster) :
Plots of a Divisive Hierarchical Clustering
Creates plots for visualizing a diana object.
● Data Source:
CranContrib
● Keywords: cluster, hplot
● Alias: plot.diana
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pam
(Package: cluster) :
Partitioning Around Medoids
Partitioning (clustering) of the data into k clusters “around medoids”, a more robust version of K-means.
● Data Source:
CranContrib
● Keywords: cluster
● Alias: pam
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providing 
.