The Information Bottleneck and Geometric Clustering

DOI10.1162/neco_a_01136zbMath1475.62083arXiv1712.09657OpenAlexW2963343988WikidataQ57472002 ScholiaQ57472002MaRDI QIDQ5154128

David J. Schwab, Daniel J. Strouse

Publication date: 1 October 2021

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1712.09657

zbMATH Keywords

informationgeometric clustering

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Statistical aspects of information-theoretic topics (62B10)

Uses Software

• PRMLT

Cites Work

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• A Maximum-Likelihood Interpretation for Slow Feature Analysis
• How Many Clusters? An Information-Theoretic Perspective
• The Deterministic Information Bottleneck
• Information-based clustering
• Elements of Information Theory

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