fanny.object  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. 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 nearcrisp clustering. 
clustering 
the clustering vector of the nearest crisp clustering, see

k.crisp 
integer (<= k) giving the number of crisp
clusters; can be less than k, where it's recommended to
decrease 
objective 
named vector containing the minimal value of the objective function
reached by the FANNY algorithm and the relative convergence
tolerance 
convergence 
named vector with 
diss 
an object of class 
call 
generating call, see 
silinfo 
list with silhouette information of the nearest crisp clustering, see

data 
matrix, possibibly standardized, or NULL, see

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
.
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