A deterministic, non-learned thermometer-bit fingerprint with fixed thresholds preserves coarse structure of sparse count matrices under Hamming distance, matching PCA-based clustering on easy tasks but trailing on fine subtypes.
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A Deterministic Binary Fingerprinting Framework with Zero-Trained Feature Extraction for Sparse Count Matrices
A deterministic, non-learned thermometer-bit fingerprint with fixed thresholds preserves coarse structure of sparse count matrices under Hamming distance, matching PCA-based clustering on easy tasks but trailing on fine subtypes.