Description Usage Arguments Details Value Note Author(s) See Also Examples
Partition analysis (Partana
) evaluates the within-cluster to
among-cluster similarity as a measure of cluster validity. Silhouette
information (Silhouette
) or Dissimilarity Diameters (Disdiam
)
can also be used to evaluate a partitioning of an object. All three are
distance based methods.
Table Deviance (Tabdev
) assess the clarity of the partitioning by
permuting the columns (species) of the community matrix (original data) and
calculates the probability of observing as low a deviance as observed.
All methods are interfaces to corresponding functions in package optpart.
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x |
A |
numitr |
Number of iterations to perform in calculating the probability of obtaining as effective a classification as observed. |
verbose |
additional console output. |
... |
Arguments passed to |
Partana
(partition analysis) evaluates the within-cluster to among-cluster similarity of partitions as a measure of cluster validity. See partana
for details. disdiam
is also a cluster validation routine.
As opposed to partition analysis (Partana
) Tabdev
is a method to assess the quality of partitions with respect to the original data, and not its distance matrix representation. See tabdev
for details.
Partana
returns an S3 object of class "partana"
.
Tabdev
returns an S3 object of class "tabdev"
, a list with two
elements 'spcdev'
and 'totdev'
.
spcdev |
|
totdev |
total tabele deviance. |
To prevent
Interfaced by Roland Kaiser for package vegsoup using David W.
Roberts tabdev
, partana
, disdiam
and silhouette
algorithms in package optpart.
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