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...

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Detalles Bibliográficos
Autores principales: Toledo, Assaf, Venezian, Elad, Slonim, Noam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

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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