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 object of class qcmethod obtained from mset_user and related functions

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 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 fname. If only_params==TRUE (default) fn will return only cluster parameters (proportions, 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 the PAM setting with K=3
m <- M[[4]]
m

# cluster data with M[[3]]
fit <- m$fn(dat)
fit

qcluster documentation built on April 3, 2025, 6:16 p.m.