minsize

positive integer. Total number of points.

positive integer. Number of independent variables.

positive integer. Number of fixed point iterations.

prob

Computes the minimum size of a fixed point cluster (FPC) which is
  found at least <code>mtf</code> times with approximated
  probability <code>prob</code> by
  <code>ir</code> fixed point iterations of <code><a href="/link/fixreg?package=fpc&version=2.1-6" rd-options="" data-mini-rdoc="fpc::fixreg">fixreg</a></code>.<p></p><p>  Thought for use within <code><a href="/link/fixreg?package=fpc&version=2.1-6" rd-options="" data-mini-rdoc="fpc::fixreg">fixreg</a></code>.</p>

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. 
  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.

minsize: Minimum size of regression fixed point cluster

Description

Usage

Arguments

Value

Details

References

See Also

Examples