Replication Data for: Visualising Culture at Scale: A Review of Dimensionality Reduction Algorithms for Cultural Data

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Authors: Giacomo Alliata
Cited by: 0

Abstract

This repository is the supporting material for the submission "Visualising Culture at Scale: A Review of Dimensionality Reduction Algorithms for Cultural Data" for the Journal of Cultural Analytics. The goal of this repository is to compare and evaluate, both qualitatively and quantitatively, four Dimensionality Reduction (DR) algorithms, applied in the specific context of cultural and humanities data. The evaluations are run on four cultural collections that cannot be disclosed for copyright reasons. For partial reproducibility, 2D embeddings computed with the different DR algorithms are provided.

Fields of Study & Subjects

Face and Expression Recognition Digital Humanities and Scholarship Data Visualization and Analytics

Publication details

Journal / source
Harvard Dataverse
Publication date
25 February 2026
Language
EN
Document type
Dataset