klist: Data Clusters by (modified) k-Means

In QuantileGH: Quantile Least Mahalanobis Distance Estimator for Tukey g-&-h Mixture

Data Clusters by (modified) k-Means

Description

To create a list of observations based on (modified) k-means algorithm.

Usage

klist(x, K, method = c("reassign_tkmeans"), alpha = 0.05, ...)

Arguments

x	numeric vector, one-dimensional observations
K	integer scalar, number of clusters
method	character scalar, only 'reassign_tkmeans' (default) supported yet
alpha	numeric scalar, proportion of observations to be trimmed in trimmed k-means algorithm tkmeans
...	additional parameters, currently not in use

Value

Function klist returns a list of numeric vectors.

See Also

reAssign.tkmeans kmeans

QuantileGH documentation built on May 29, 2024, 12:14 p.m.