generate.data.FV17

this function generates a set of simulated functional data in
2 clusters that reproduce the examples in Simulations 2A and 2B in
Floriello &amp; Vitelli (2017).

Provides a general framework for performing sparse functional
clustering as originally described in Floriello and Vitelli (2017)
<doi:10.1016/j.jmva.2016.10.008>, with the possibility of jointly handling
data misalignment (see Vitelli, 2019, <doi:10.48550/arXiv.1912.00687>).

Waldir Leoncio

SparseFunClust

Sparse Functional Clustering

Valeria Vitelli

generate.data.FV17 function

<dl><dt>n</dt>
<dd>number of curves</dd>
<dt>x</dt>
<dd>curves' domain</dd>
<dt>paramC</dt>
<dd>proportion of cluster overlap (default 0.5, as in Simulation 2A)</dd>
<dt>plots</dt>
<dd>boolean; should plots be drawn (<code>FALSE</code> default)</dd></dl>

Arguments

Data generation: no-misalignment case — generate.data.FV17

<dl>

<dt>n</dt>
<dd>number of curves</dd>


<dt>x</dt>
<dd>curves' domain</dd>


<dt>paramC</dt>
<dd>proportion of cluster overlap (default 0.5, as in Simulation 2A)</dd>


<dt>plots</dt>
<dd>boolean; should plots be drawn (<code>FALSE</code> default)</dd>

</dl>

generate.data.FV17: Data generation: no-misalignment case

Description

Usage

Value

Arguments

Examples