tandem-class

Implements two iterative techniques called T3Clus and 3Fkmeans, aimed at simultaneously clustering objects and a factorial dimensionality reduction of variables and occasions on three-mode datasets developed by Vichi et al. (2007) <doi:10.1007/s00357-007-0006-x>. Also, we provide a convex combination of these two simultaneous procedures called CT3Clus and based on a hyperparameter alpha (alpha in [0,1], with 3FKMeans for alpha=0 and T3Clus for alpha= 1) also developed by Vichi et al. (2007) <doi:10.1007/s00357-007-0006-x>. Furthermore, we implemented the traditional tandem procedures of T3Clus (TWCFTA) and 3FKMeans (TWFCTA) for sequential clustering-factorial decomposition (TWCFTA), and vice-versa (TWFCTA) proposed by P. Arabie and L. Hubert (1996) <doi:10.1007/978-3-642-79999-0_1>.

Prosper Ablordeppey

simuclustfactor

Simultaneous Clustering and Factorial Decomposition of Three-Way
Datasets

Adelaide Freitas

Giorgia Zaccaria

tandem-class function

<dl>
<dt><code>seed</code></dt>
<dd>Seed for random sequence generation. Defaults to None.</dd></dl>
<dt><code>verbose</code></dt>
<dd>logical. Whether to display executions output or not. Defaults to False.</dd>
<dt><code>init</code></dt>
<dd>character. The parameter initialization method. Defaults to 'svd'.</dd>
<dt><code>n_max_iter</code></dt>
<dd>numeric. Maximum number of iterations. Defaults to 10.</dd>
<dt><code>n_loops</code></dt>
<dd>numeric. Number of initialization to guarantee global results. Defaults to 10.</dd>
<dt><code>tol</code></dt>
<dd>numeric. Tolerance level/acceptable error. Defaults to 1e-5.</dd>
<dt><code>U_i_g</code></dt>
<dd>matrix. (I,G) initial stochastic membership function matrix.</dd>
<dt><code>B_j_q</code></dt>
<dd>matrix. (J,Q) initial component weight matrix for variables.</dd>
<dt><code>C_k_r</code></dt>
<dd>matrix. (K,R) initial component weight matrix for occasions.</dd>

Slots

Tandem Class — tandem-class

<dl>
<dt><code>seed</code></dt>
<dd>Seed for random sequence generation. Defaults to None.</dd>


<dt><code>verbose</code></dt>
<dd>logical. Whether to display executions output or not. Defaults to False.</dd>


<dt><code>init</code></dt>
<dd>character. The parameter initialization method. Defaults to 'svd'.</dd>


<dt><code>n_max_iter</code></dt>
<dd>numeric. Maximum number of iterations. Defaults to 10.</dd>


<dt><code>n_loops</code></dt>
<dd>numeric. Number of initialization to guarantee global results. Defaults to 10.</dd>


<dt><code>tol</code></dt>
<dd>numeric. Tolerance level/acceptable error. Defaults to 1e-5.</dd>


<dt><code>U_i_g</code></dt>
<dd>matrix. (I,G) initial stochastic membership function matrix.</dd>


<dt><code>B_j_q</code></dt>
<dd>matrix. (J,Q) initial component weight matrix for variables.</dd>


<dt><code>C_k_r</code></dt>
<dd>matrix. (K,R) initial component weight matrix for occasions.</dd>


</dl>

tandem-class: Tandem Class

Description

Arguments

Slots