expressions

Dissimilarities represent the correspondence in facial expressions.
30 students rated the dissimilarity between 13 female portraits (photographs) on a 9-point scale.
The dissimilarities are the means of the re-scaled values obtained by the method of successive intervals.

dataset

Multidimensional scaling (MDS) functions for various tasks that are beyond the beta stage and way past the alpha stage.
Currently, options are available for weights, restrictions, classical scaling or principal coordinate analysis, transformations (linear, power, Box-Cox, spline, ordinal), outlier mitigation (rdop), out-of-sample estimation (predict), negative dissimilarities, fast and faster executions with low memory footprints, penalized restrictions, cross-validation-based penalty selection, supplementary variable estimation (explain), additive constant estimation, mixed measurement level distance calculation, restricted classical scaling, etc. More will come in the future.
References. Busing (2024) "A Simple Population Size Estimator for Local Minima Applied to Multidimensional Scaling". Manuscript submitted for publication.
Busing (2025) "Node Localization by Multidimensional Scaling with Iterative Majorization". Manuscript submitted for publication.
Busing (2025) "Faster Multidimensional Scaling". Manuscript in preparation.
Barroso and Busing (2025) "e-RDOP, Relative Density-Based Outlier Probabilities, Extended to Proximity Mapping". Manuscript submitted for publication.

Frank Busing

fmds

Multidimensional Scaling Development Kit

Frank M.T.A. Busing

Juan Claramunt Gonzalez

expressions function

13 x 16 matrix. The first 13 x 13 matrix is a dissimilarity matrix<ul>
<li>V1: dissimilarities for V1.</li>
<li>V2: dissimilarities for V2.</li>
<li>V3: dissimilarities for V3.</li>
<li>V4: dissimilarities for V4.</li>
<li>V5: dissimilarities for V5.</li>
<li>V6: dissimilarities for V6.</li>
<li>V7: dissimilarities for V7.</li>
<li>V8: dissimilarities for V8.</li>
<li>V9: dissimilarities for V9.</li>
<li>V10: dissimilarities for V10.</li>
<li>V11: dissimilarities for V11.</li>
<li>V12: dissimilarities for V12.</li>
<li>V13: dissimilarities for V13.</li>
<li>P1: Property 1.</li>
<li>P2: Property 2.</li>
<li>P3: Property 3.</li>
</ul>

expressions: Facial Expressions Data

Description

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References