tandem

Initializes an instance of the tandem model required by the tandem methods.

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 function

<dl><dt>seed</dt>
<dd>Seed for random sequence generation.</dd>
<dt>verbose</dt>
<dd>Flag to display iteration outputs for each loop.</dd>
<dt>init</dt>
<dd>Parameter initialization method, 'svd' or 'random'.</dd>
<dt>n_max_iter</dt>
<dd>Maximum number of iteration to optimize the objective function.</dd>
<dt>n_loops</dt>
<dd>Maximum number of loops/runs for global results.</dd>
<dt>tol</dt>
<dd>Allowable tolerance to check convergence.</dd>
<dt>U_i_g</dt>
<dd>Initial membership function matrix for the objects.</dd>
<dt>B_j_q</dt>
<dd>Initial component scores matrix for the variables.</dd>
<dt>C_k_r</dt>
<dd>Initial component sores matrix for the occasions.</dd></dl>

Arguments

Initializes an instance of the tandem model required by the tandem methods. — tandem

<dl>

<dt>seed</dt>
<dd>Seed for random sequence generation.</dd>


<dt>verbose</dt>
<dd>Flag to display iteration outputs for each loop.</dd>


<dt>init</dt>
<dd>Parameter initialization method, 'svd' or 'random'.</dd>


<dt>n_max_iter</dt>
<dd>Maximum number of iteration to optimize the objective function.</dd>


<dt>n_loops</dt>
<dd>Maximum number of loops/runs for global results.</dd>


<dt>tol</dt>
<dd>Allowable tolerance to check convergence.</dd>


<dt>U_i_g</dt>
<dd>Initial membership function matrix for the objects.</dd>


<dt>B_j_q</dt>
<dd>Initial component scores matrix for the variables.</dd>


<dt>C_k_r</dt>
<dd>Initial component sores matrix for the occasions.</dd>

</dl>

tandem: Initializes an instance of the tandem model required by the tandem methods.

Description

Usage

Value

Arguments

References

See Also