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Revisiting Sequential Information Bottleneck: New Implementation and Evaluation
We introduce a modern, optimized, and publicly available implementation of the sequential Information Bottleneck clustering algorithm, which strikes a highly competitive balance between clustering quality and speed. We describe a set of optimizations that make the algorithm computation more efficien...
Autores principales: | Toledo, Assaf, Venezian, Elad, Slonim, Noam |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407479/ https://www.ncbi.nlm.nih.gov/pubmed/36010796 http://dx.doi.org/10.3390/e24081132 |
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