chain_effect

A toy dataset for illustrating the chain effect.

datasets

Provide the 'CrossClustering' algorithm (Tellaroli et al.
(2016) <doi:10.1371/journal.pone.0152333>), which is a partial
clustering algorithm that combines the Ward's minimum variance and
Complete Linkage algorithms, providing automatic estimation of a
suitable number of clusters and identification of outlier elements.

Paola Tellaroli

CrossClustering

A Partial Clustering Algorithm

Marco Bazzi

Michele Donato

Livio Finos

Philippe Courcoux

Corrado Lanera

chain_effect function

A data frame with 28 rows and 2 variables:
<dl>
<dt><code>X</code></dt>
<dd>num</dd>
 x coordinates
0 is negative.
<dt><code>Y</code></dt>
<dd>num</dd>
 y coordinates.</dl>

Format

A toy dataset for illustrating the chain effect. — chain_effect

A data frame with 28 rows and 2 variables:
<dl>
<dt><code>X</code></dt>
<dd>num</dd>
 x coordinates
0 is negative.
<dt><code>Y</code></dt>
<dd>num</dd>
 y coordinates.

</dl>

chain_effect: A toy dataset for illustrating the chain effect.

Description

Usage

Arguments

Format