fanny.object {cluster}R Documentation

Fuzzy Analysis (FANNY) Object


The objects of class "fanny" represent a fuzzy clustering of a dataset.


A legitimate fanny object is a list with the following components:

membership matrix containing the memberships for each pair consisting of an observation and a cluster.
coeff Dunn's partition coefficient F(k) of the clustering, where k is the number of clusters. F(k) is the sum of all squared membership coefficients, divided by the number of observations. Its value is always between 1/k and 1.
The normalized form of the coefficient is also given. It is defined as (F(k) - 1/k) / (1 - 1/k), and ranges between 0 and 1. A low value of Dunn's coefficient indicates a very fuzzy clustering, whereas a value close to 1 indicates a near-crisp clustering.
clustering the clustering vector of the nearest crisp clustering, see partition.object.
objective the objective function and the number of iterations the fanny algorithm needed to reach this minimal value.
diss an object of class "dissimilarity", see partition.object.
call generating call, see partition.object.
silinfo list with silhouette information of the nearest crisp clustering, see partition.object.
data matrix, possibibly standardized, or NULL, see partition.object.


These objects are returned from fanny.


The "fanny" class has methods for the following generic functions: print, summary.


The class "fanny" inherits from "partition". Therefore, the generic functions plot and clusplot can be used on a fanny object.

See Also

fanny, dissimilarity.object, partition.object, plot.partition.

[Package cluster version 1.9.8 Index]