fdars (version 0.3.3)

cluster.init: K-Means++ Center Initialization

Description

Initialize cluster centers using the k-means++ algorithm, which selects centers with probability proportional to squared distance from existing centers.

Usage

cluster.init(fdataobj, ncl, metric = "L2", seed = NULL)

Value

An fdata object containing the initial cluster centers.

Arguments

fdataobj

An object of class 'fdata'.

ncl

Number of clusters.

metric

Metric to use. One of "L2", "L1", or "Linf".

seed

Optional random seed.

Examples

t <- seq(0, 1, length.out = 50)
X <- matrix(rnorm(30 * 50), 30, 50)
fd <- fdata(X, argvals = t)
init_centers <- cluster.init(fd, ncl = 3)