Get Started
Home
Topics
Search
Library
Research questionHow can archetypal profiles be identified from three-way asymmetric dissimilarities?Standard multidimensional scaling methods generally assume symmetric relationships, making it difficult to represent directional, non-reflexive relationships across multiple occasions. This limits the extraction of meaningful archetypal profiles from three-way asymmetric data.
Finance
Machine Learning
Research Paper
Statistical Machine Learning
Latest papersRecent research connected to this question, newest first.Multidimensional scaling of two-mode three-way asymmetric dissimilarities: finding archetypal profiles and clusteringThe source extends h-plot methodology to symmetric and asymmetric, conditional and unconditional three-way proximities, supporting archetypal-profile identification and clustering. Evidence includes comparisons with existing multidimensional-scaling and clustering models and a financial application, with data and code provided.research paper · Sep 2, 2026
Related questions
How can quality-diversity methods optimize behavioral diversity in arbitrary dissimilarity spaces?How can a transferable image-style representation separate overall identity from fine-grained visual attributes?How should distance be defined for high-dimensional clustering when Euclidean geometry mishandles anisotropy and feature interactions?How can AI-derived respondent measures recover within- and between-group effects when conventional surveys are unavailable?