mbind: Combines Methods Settings

In qcluster: Clustering via Quadratic Scoring

Combines Methods Settings

Description

The function combines functions containing clustering methods setups built using mset_user and related functions.

Usage

mbind(...)

Arguments

...	one or more qcmethod objects obtained from mset_user and related functions, bare functions, or lists of bare functions. Bare functions are wrapped as unnamed user methods.

Details

mbind() does not modify the supplied methods; it concatenates them into a single qcmethod object.

Value

An S3 object of class 'qcmethod'. Each element of the list represents a competing method containing the following objects

fullname	a string identifying the setup.
callargs	a list with arguments that are passed to the base function.
fn	the function implementing the specified setting. This fn function can be executed on the data set. It has at least two arguments: data and only_params. data is a data matrix or data.frame only_params is logical. If only_params==FALSE (default), fn will return the object returned by the underlying clustering method. If only_params==TRUE (default) fn will return only cluster parameters (proportion, mean, and cov; see clust2params).

References

Coraggio, Luca and Pietro Coretto (2023). Selecting the number of clusters, clustering models, and algorithms. A unifying approach based on the quadratic discriminant score. Journal of Multivariate Analysis, Vol. 196(105181), 1-20. doi: \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.jmva.2023.105181")}

See Also

mset_user, mset_gmix, mset_kmeans, mset_pam

Examples

# load data
data("banknote")
dat  <- banknote[-1]

# generate  kmeans setups
A <- mset_kmeans(K=c(2,3))

# generate gmix  setups
B <- mset_gmix(K=c(2,3))

# combine setups
M <- mbind(A, B)

# get one combined setting
m <- M[[4]]
m

# cluster data with 'm'
fit <- m$fn(dat)
fit

qcluster documentation built on June 5, 2026, 5:07 p.m.