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...
Main Authors: | Assaf Toledo, Elad Venezian, Noam Slonim |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-08-01
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Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/24/8/1132 |
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