sdists.center: Centroid Sequences

In cba: Clustering for Business Analytics

Centroid Sequences

Description

Find centroid sequences among a collection of sequences.

Usage

sdists.center(x, d = NULL, method = "ow", weight = c(1, 1, 0, 2),
              exclude = c(NA, NaN, Inf, -Inf), FUN = NULL, ...,
              unique = FALSE)

Arguments

x	a list (of vectors) of a vector of character.
d	a matrix or an object of class dist.
method	argument to sdists.
weight	argument to sdists.
exclude	argument to sdists.
FUN	a function to rank distances.
...	additional arguments to FUN.
unique	a logical specifying whether to return a unique set of sequences.

Details

This function provides a wrapper to computing the distances among the sequences in x, unless d is supplied, and the subsequent selection of a set of centroid sequences with minimum sum of distances to any other sequence.

Value

A subset of x.

Author(s)

Christian Buchta

See Also

sdists for distance computation.

Examples

x <- c("ABCD", "AD", "BCD", "ACF", "CDF", "BC")
sdists.center(x)

cba documentation built on Sept. 11, 2024, 9:32 p.m.