Bozkurt (2015) presents an unsupervised authorship‑attribution method that partitions a text into overlapping fragments, clusters each set of fragments independently using stylometric features, and then aligns the resulting clusterings to generate probabilistic weight assignments for a predefined number of unknown authors. The technique is designed for texts with multiple writing styles and requires no prior training samples, addressing the
Bears on: authorship & stylometry · concepts & methods