funcyCtrl-class: Class '"funcyCtrl"'

In funcy: Functional Clustering Algorithms

Description

Hyperparameters for functional cluster algorithms.

Objects from the Class

Objects can be created by calls of the form new("funcyCtrl"). In addition, named lists can be coerced to funcyCtrl objects, names are completed if unique (see examples).

Slots

Objects of class funcyCtrl have the following slots:

baseType:

Type of basis functions, one of "eigenbasis", "splines", "exponential", "fourier", "power", "polynomial" .

dimBase:

Dimension of the basis functions.

flexDim:

If TRUE, dimension can vary between clusters (if supported by the algorithm). dimBase is therefore the maximum dimension.

init:

Algorithm for initial clustering, one of "kmeans", "random" or "hclust".

nrep:

Number of replications for initial clustering.

seed:

Seed number.

thd:

Threshold if fpca was integrated into method.

redDim:

Reduced dimension if coefficients are additionally projected onto lower subspace.

Objects of class funcyCtrlMbc inherit from funcyCtrl and have the following additional slots:

eps:

Convergence threshold for EM-algorithm.

maxit:

Maximum number of iterations.

hard:

Hard classification?

Author(s)

Christina Yassouridis

References

Christina Yassouridis and Dominik Ernst and Friedrich Leisch. Generalization, Combination and Extension of Functional Clustering Algorithms: The R Package funcy. Journal of Statistical Software. 85 (9). 1–25. 2018

See Also

funcit

Examples

##Show slots
showClass("funcyCtrl")

##Define new parameters
mycont = new("funcyCtrl", baseType="fourier", dimBase=4, flexDim=TRUE,
init="hclust")
mycont

funcy documentation built on May 2, 2019, 9:22 a.m.