fanny.object: Fuzzy Analysis (FANNY) Object

Description

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

A legitimate fanny object is a list with the following components:
membershipmatrix containing the memberships for each pair consisting of an observation and a cluster.
coeffDunn'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.
clusteringthe clustering vector of the nearest crisp clustering, see partition.object.
objectivethe objective function and the number of iterations the fanny algorithm needed to reach this minimal value.
dissan object of class "dissimilarity", see partition.object.
callgenerating call, see partition.object.
silinfolist with silhouette information of the nearest crisp clustering, see partition.object.
datamatrix, 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.