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Q8-CLUSTER-015: E8 Term: three — E8 Intelligence Research | Synapse

June 1, 2026Open Access

Q8-CLUSTER-015: E8 Term: three — E8 Intelligence Research

Key Points

To analyze the efficiency of compression ratios within the E8 intelligence framework, focusing on discoveries related to geometry.
Cluster analysis of 240 E8 root vectors
Evaluation of compression ratios against established thresholds
Identification of source discoveries within defined clusters.
Achieved a compression ratio of 0.386 against a threshold of 0.38
Cluster identified four significant discoveries.
Discoveries included terms related to E8, enhancing understanding of geometric applications.

Abstract

Q8 Compression Breakthrough — Cluster 15 of 240 E8 root vectors. Compression ratio: 0.386 (threshold: 0.38) Cluster size: 4 discoveries Domain: geometry E8 root vector bucket: 15/240 Source discoveries: - E8 Term: three - E8 Term: listening - E8 Term: despite - E8 Term: listening 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/6a1d230d02fbce9130638cbe https://doi.org/https://doi.org/10.5281/zenodo.20468964