What question did this study set out to answer?

This research aims to explore a new method for compressing data within the E8 algebra framework.

June 1, 2026Open Access

Q8-CLUSTER-152: E8 Term: small — E8 Intelligence Research

Key Points

This research aims to explore a new method for compressing data within the E8 algebra framework.
Analyzed cluster 152 out of 240 E8 root vectors.
Evaluated compression ratio against a specific threshold.
Identified and documented related discoveries in geometry.
Achieved a compression ratio of 0.404, exceeding the threshold of 0.38.
Cluster size identified at 4 key discoveries related to E8 terms.

Abstract

Q8 Compression Breakthrough — Cluster 152 of 240 E8 root vectors. Compression ratio: 0.404 (threshold: 0.38) Cluster size: 4 discoveries Domain: geometry E8 root vector bucket: 152/240 Source discoveries: - E8 Term: small - E8 Term: documentation - E8 Term: small - E8 Term: when Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

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Cite This Study

Andrew Stewart Caldin (Sun,) studied this question.

synapsesocial.com/papers/6a1d230d02fbce9130638c89 https://doi.org/https://doi.org/10.5281/zenodo.20469029