fanny.object {cluster}  R Documentation 
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. 
memb.exp 
the membership exponent used in the fitting criterion. 
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 between 1/k and 1
iff memb.exp = 2 .
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 (currently, only when memb.exp = 2 ; this may change in the future).
A low value of Dunn's coefficient indicates a very fuzzy clustering,
whereas a value close to 1 indicates a nearcrisp clustering.

clustering 
the clustering vector of the nearest crisp clustering, see
partition.object . 
objective 
named vector containing the minimal value of the objective function
reached by the FANNY algorithm and the relative convergence
tolerance tol used.

convergence 
named vector with iterations , the number of iterations needed
and converged indicating if the algorithm converged (in
maxit iterations within convergence tolerance tol ).

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