itnumber

positive integer. Total number of points.

positive integer. Number of independent variables.

positive integer smaller or equal to <code>n</code>.
 Size of the FPC.

prob

positive integer. <code>itnumber</code> is set to this value if
 it would otherwise be larger.

maxir

Computes the number of fixed point iterations needed by
 <code>fixreg</code> to find <code>mtf</code> times
 a fixed point cluster (FPC) of size
 <code>cn</code> with an approximated probability of <code>prob</code>.
Thought for use within <code>fixreg</code>.

cluster

univar

Various methods for clustering and cluster validation.
Fixed point clustering. Linear regression clustering. Clustering by
merging Gaussian mixture components. Symmetric
and asymmetric discriminant projections for visualisation of the
separation of groupings. Cluster validation statistics
for distance based clustering including corrected Rand index.
Standardisation of cluster validation statistics by random clusterings and
comparison between many clustering methods and numbers of clusters based on
this.
Cluster-wise cluster stability assessment. Methods for estimation of
the number of clusters: Calinski-Harabasz, Tibshirani and Walther's
prediction strength, Fang and Wang's bootstrap stability.
Gaussian/multinomial mixture fitting for mixed
continuous/categorical variables. Variable-wise statistics for cluster
interpretation. DBSCAN clustering. Interface functions for many
clustering methods implemented in R, including estimating the number of
clusters with kmeans, pam and clara. Modality diagnosis for Gaussian
mixtures. For an overview see package?fpc.

Christian Hennig

Flexible Procedures for Clustering

itnumber function

<dl> <dt>n</dt>
<dd>positive integer. Total number of points.</dd> <dt>p</dt>
<dd>positive integer. Number of independent variables.</dd> <dt>cn</dt>
<dd>positive integer smaller or equal to <code>n</code>.
 Size of the FPC.</dd> <dt>mtf</dt>
<dd>positive integer.</dd> <dt>prob</dt>
<dd>number between 0 and 1.</dd> <dt>maxir</dt>
<dd>positive integer. <code>itnumber</code> is set to this value if
 it would otherwise be larger.</dd></dl>

Arguments

Christian Hennig
 <a href="/link/christian.hennig%40unibo.it?package=fpc&version=2.2-9" data-mini-rdoc="fpc::christian.hennig@unibo.it">christian.hennig@unibo.it</a>
 <a href="https://www.unibo.it/sitoweb/christian.hennig/en/">https://www.unibo.it/sitoweb/christian.hennig/en/</a>

Author

Number of regression fixed point cluster iterations — itnumber

<dl>

 <dt>n</dt>
<dd>positive integer. Total number of points.</dd>

 <dt>p</dt>
<dd>positive integer. Number of independent variables.</dd>

 <dt>cn</dt>
<dd>positive integer smaller or equal to <code>n</code>.
 Size of the FPC.</dd>

 <dt>mtf</dt>
<dd>positive integer.</dd>

 <dt>prob</dt>
<dd>number between 0 and 1.</dd>

 <dt>maxir</dt>
<dd>positive integer. <code>itnumber</code> is set to this value if
 it would otherwise be larger.</dd>

</dl>

Christian Hennig
 <a href='mailto:christian.hennig@unibo.it'>christian.hennig@unibo.it</a>
 <a href='https://www.unibo.it/sitoweb/christian.hennig/en/'>https://www.unibo.it/sitoweb/christian.hennig/en/</a>

itnumber: Number of regression fixed point cluster iterations

Description

Usage

Value

Arguments

Author

Details

References

See Also

Examples