Quantifying the Occult: A Comparative Study of Hindu and Buddhist Deities Using Machine Learning Methods
This study introduces a dual-matrix computational architecture to mathematically quantify the morphological and theological divergence of 196 Hindu and Vajrayana Buddhist esoteric deities. Physical morphology is evaluated via a discrete Gower distance matrix enhanced by a novel "Cardinality Weighting" algorithm, while theological function is mapped via dense vector embeddings generated from Large Language Model (LLM) semantic expansions, explicitly utilized as a synthetic proxy to mitigate circular reasoning. The multi-modal topological projections provide algorithmic validation of "iconographic camouflage", demonstrating how distinct visual forms structurally obscure shared cross-traditi...
| Authors | Ankit Bhattacharjee |
|---|---|
| Primary category | cs.CY |
| Published | 22 September 2026 |
| Last updated at source | 22 September 2026 |
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