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latent-block-model

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SadraDaneshvar / call-of-the-blocs-unga-mds-clustering

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Mapping post-Cold War UNGA voting blocs with overlap-weighted ratio-SMACOF MDS, PAM clustering, and categorical country-resolution co-clustering.

machine-learning r reproducible-research clustering political-science rstats unsupervised-learning international-relations united-nations co-clustering hierarchical-clustering k-medoids multidimensional-scaling smacof relational-data voting-behavior silhouette-analysis unga latent-block-model roll-call-votes
  • Updated Aug 12, 2026
  • R
ELBMcoclust

Saeidhoseinipour / ELBMcoclust

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We unified some latent block models by proposing a flexible ELBM that is extended to SELBM to address the sparse problem by revealing a diagonal structure from sparse datasets. This leads to obtain more homogeneous co-clusters and therefore produce useful, ready-to-use and easy-to-interpret results.

text-mining word-cloud exponential text-summarization sparse-matrix co-clustering latent-block-model coclust
  • Updated Oct 18, 2026
  • Python

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