This work presents a comparative analysis of text complexity across domains using scale-free metrics. We quantify linguistic complexity via Heaps’ exponent β (vocabulary growth), Taylor’s exponent α (word-frequency fluctuation scaling),…
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Clustering is a fundamental technique in machine learning and data mining, offering a powerful lens to understand self-organizing patterns in the real world. At its core, clustering is inherently information-theoretic:…