get_semirandom {adproclus}

Generate initial semi-random start

Description

Generate an initial semi-random start for the (low dimensional) Additive Profile Clustering algorithm (see adproclus and adproclus_low_dim).

Usage

get_semirandom(data, nclusters, seed = NULL)

Arguments

data

Object-by-variable data matrix of class matrix or data.frame.

nclusters

Number of clusters to be used. Must be a positive integer.

seed

Integer. Seed for the random number generator. Default: NULL

Details

An initial cluster membership matrix A is generated by finding the best A conditional on an initial profile matrix P generated by drawing k randomly chosen, distinct, rows from data (for details, see Depril et al., 2012).

Warning: This function does not obtain an ADPRCOLUS model. To perform aditive profile clustering, see adproclus.

Value

get_semirandom returns a list with the following components:

type

A character string denoting the type of start ('Semi-random Start')

A

An initial Membership matrix

References

Wilderjans, T. F., Ceulemans, E., Van Mechelen, I., & Depril, D. (2010). ADPROCLUS: a graphical user interface for fitting additive profile clustering models to object by variable data matrices. Behavior Research Methods, 43(1), 56-65.

Depril, D., Van Mechelen, I., & Mirkin, B. (2008). Algorithms for additive clustering of rectangular data tables. Computational Statistics and Data Analysis, 52, 4923-4938.

#' Depril, D., Van Mechelen, I., & Wilderjans, T. F. (2012). Lowdimensional additive overlapping clustering. Journal of classification, 29, 297-320.

See Also

adproclus, adproclus_low_dim

for details about membership and profile matrices

get_random

for generating random starts

get_rational

for generating rational starts

Examples

# Obtain data from data set "Stackloss" and generate start allocation
start_allocation <- get_semirandom(stackloss, 3)$A