Heuristic clustering, in blockchain forensics, is the practice of grouping addresses that are inferred to be controlled by the same entity using behavioural heuristics such as common-input-ownership or change-address detection, rather than direct cryptographic proof of common control. It is the core analytic technique used by chain-analysis firms to de-anonymise transaction graphs and attribute activity to real-world actors. Its outputs are probabilistic, and heuristics can misfire against wallets that deliberately break the assumed patterns.
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- Heuristic clustering, in blockchain forensics, is the practice of grouping addresses that are inferred to be controlled by the same entity using behavioural heuristics such as common-input-ownership or change-address detection, rather than direct cryptographic proof of common control. It is the core analytic technique used by chain-analysis firms to de-anonymise transaction graphs and attribute activity to real-world actors. Its outputs are probabilistic, and heuristics can misfire against wallets that deliberately break the assumed patterns.