fanny.object {cluster} | R Documentation |
These are objects of class "fanny" They represent a fuzzy clustering of a dataset.
objective |
the objective function and the number of iterations the fanny algorithm
needed to reach this minimal value.
|
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. A vector with length
equal to the number of observations, giving for each observation the number
of the cluster to which it has the largest membership.
|
silinfo |
list with all information necessary to construct a silhouette plot of the
nearest crisp clustering. This list is only available when 1 < k < n.
The first component is a matrix, with for each observation i the cluster to
which i belongs, as well as the neighbor cluster of i (the cluster,
not containing i, for which the average dissimilarity between its observations
and i is minimal), and the silhouette width of i.
The other two components give the average silhouette width per cluster and
the average silhouette width for the dataset.
See plot.partition for more information.
|
diss |
an object of class "dissimilarity" , representing the total dissimilarity
matrix of the dataset.
|
data |
a matrix containing the original or standardized measurements, depending
on the stand option of the function fanny . If a dissimilarity matrix was
given as input structure, then this component is not available.
|
This class of objects is 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.
A legitimate fanny
object is a list with the following components:
fanny
, dissimilarity.object
, partition.object
, plot.partition
.