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mona.object

Monothetic Analysis (MONA) Object


Description

The objects of class "mona" represent the divisive hierarchical clustering of a dataset with only binary variables (measurements). This class of objects is returned from mona.

Value

A legitimate mona object is a list with the following components:

data

matrix with the same dimensions as the original data matrix, but with factors coded as 0 and 1, and all missing values replaced.

order

a vector giving a permutation of the original observations to allow for plotting, in the sense that the branches of a clustering tree will not cross.

order.lab

a vector similar to order, but containing observation labels instead of observation numbers. This component is only available if the original observations were labelled.

variable

vector of length n-1 where n is the number of observations, specifying the variables used to separate the observations of order.

step

vector of length n-1 where n is the number of observations, specifying the separation steps at which the observations of order are separated.

METHODS

The "mona" class has methods for the following generic functions: print, summary, plot.

See Also

mona for examples etc, plot.mona.


cluster

"Finding Groups in Data": Cluster Analysis Extended Rousseeuw et al.

v2.1.2
GPL (>= 2)
Authors
Martin Maechler [aut, cre] (<https://orcid.org/0000-0002-8685-9910>), Peter Rousseeuw [aut] (Fortran original, <https://orcid.org/0000-0002-3807-5353>), Anja Struyf [aut] (S original), Mia Hubert [aut] (S original, <https://orcid.org/0000-0001-6398-4850>), Kurt Hornik [trl, ctb] (port to R; maintenance(1999-2000), <https://orcid.org/0000-0003-4198-9911>), Matthias Studer [ctb], Pierre Roudier [ctb], Juan Gonzalez [ctb], Kamil Kozlowski [ctb], Erich Schubert [ctb] (fastpam options for pam(), <https://orcid.org/0000-0001-9143-4880>), Keefe Murphy [ctb] (volume.ellipsoid({d >= 3}))
Initial release
2021-04-16

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