Topolow embeds sparse, non-metric dissimilarity data into Euclidean space via a stochastic, gradient-free spring-particle optimization and reports lower reconstruction stress than classical and iterative MDS.
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Topolow: Force-Directed Euclidean Embedding of Dissimilarity Data with Robustness Against Non-Metricity and Sparsity
Topolow embeds sparse, non-metric dissimilarity data into Euclidean space via a stochastic, gradient-free spring-particle optimization and reports lower reconstruction stress than classical and iterative MDS.