Kplot

A plot function for K-medians and K-means

Robust clustering

Online, Semi-online, and Offline K-medians algorithms are
given. For both methods, the algorithms can be initialized
randomly or with the help of a robust hierarchical
clustering. The number of clusters can be selected with the
help of a penalized criterion. We provide functions to provide
robust clustering. Function gen_K() enables to generate a sample
of data following a contaminated Gaussian mixture.
Functions Kmedians() and Kmeans() consists in a K-median and a
K-means algorithms while Kplot() enables to produce graph for both
methods.
Cardot, H., Cenac, P. and Zitt, P-A. (2013). "Efficient and fast estimation of the geometric median in Hilbert spaces with an averaged stochastic gradient algorithm". Bernoulli, 19, 18-43. <doi:10.3150/11-BEJ390>.
Cardot, H. and Godichon-Baggioni, A. (2017). "Fast Estimation of the Median Covariation Matrix with Application to Online Robust Principal Components Analysis". Test, 26(3), 461-480 <doi:10.1007/s11749-016-0519-x>.
Godichon-Baggioni, A. and Surendran, S. "A penalized criterion for selecting the number of clusters for K-medians" <arXiv:2209.03597>
Vardi, Y. and Zhang, C.-H. (2000). "The multivariate L1-median and associated data depth". Proc. Natl. Acad. Sci. USA, 97(4):1423-1426. <doi:10.1073/pnas.97.4.1423>.

Antoine Godichon-Baggioni

Kmedians

K-Medians

Sobihan Surendran

Kplot function

<dl><dt>a</dt>
<dd>Output from <code>Kmedians</code> or <code>Kmeans</code>.</dd><dt>propplot</dt>
<dd>A scalar between <code>0</code> and <code>1</code> giving the propotion of data considered for the different graphs.</dd><dt>graph</dt>
<dd>A string specifying the type of graph requested.
Default is <code>c('Two_Dim','Capushe','Profiles','SE','Criterion')</code>.</dd><dt>bestresult</dt>
<dd>A logical indicating if the graphs must be done for the result chosen by the selected criterion. Default is <code>TRUE</code>.</dd><dt>Ksel</dt>
<dd>A logical or positive integer giving the chosen number of clusters for each the graphs should be drawn.</dd><dt>bycluster</dt>
<dd>A logical indicating if the data selected for <code>'Two_Dim'</code> and <code>'Profiles'</code> graphs should be selected by cluster or not. Default is <code>TRUE</code>.</dd></dl>

Arguments

Kplot — Kplot

<dl>

<dt>a</dt>
<dd>Output from <code>Kmedians</code> or <code>Kmeans</code>.</dd>

<dt>propplot</dt>
<dd>A scalar between <code>0</code> and <code>1</code> giving the propotion of data considered for the different graphs.</dd>

<dt>graph</dt>
<dd>A string specifying the type of graph requested.
Default is <code>c('Two_Dim','Capushe','Profiles','SE','Criterion')</code>.</dd>

<dt>bestresult</dt>
<dd>A logical indicating if the graphs must be done for the result chosen by the selected criterion. Default is <code>TRUE</code>.</dd>

<dt>Ksel</dt>
<dd>A logical or positive integer giving the chosen number of clusters for each the graphs should be drawn.</dd>

<dt>bycluster</dt>
<dd>A logical indicating if the data selected for <code>'Two_Dim'</code> and <code>'Profiles'</code> graphs should be selected by cluster or not. Default is <code>TRUE</code>.</dd>

</dl>

Kplot: Kplot

Description

Usage

Value

Arguments

See Also

Examples