inaparc: rsegment – R documentation

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rsegment

Initialization of cluster prototypes using a randomly selected segment

Description

Initializes the cluster prototypes matrix using using a k-length segment of data set consists of consecutive objects that starts with a randomly sampled data object.

Usage

rsegment(x, k)

Arguments

`x`	a numeric vector, data frame or matrix.
`k`	an integer for the number of clusters.

Details

The function rsegment randomly samples one data object as the prototype of first cluster, and then it assigns the next k-1 data objects as the prototype of remaining clusters.

Value

an object of class ‘inaparc’, which is a list consists of the following items:

`v`	a numeric matrix containing the initial cluster prototypes.
`ctype`	a string representing the type of centroid, which used to build prototype matrix. Its value is ‘obj’ with this function because the cluster prototype matrix contains the sampled objects.
`call`	a string containing the matched function call that generates this ‘inaparc’ object.

Author(s)

Zeynel Cebeci, Cagatay Cebeci

Examples

data(iris)
res <- rsegment(x=iris[,1:4], k=5)
v <- res$v
print(v)

inaparc

Initialization Algorithms for Partitioning Cluster Analysis

v1.1.0

GPL (>= 2)

Authors

Zeynel Cebeci [aut, cre], Cagatay Cebeci [aut]

Initial release

2020-02-08