Exploring sex classification from earprints - A comparison of supervised machine learning algorithms and conventional linear discriminant analysis.

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Bibliographic Details
Title: Exploring sex classification from earprints - A comparison of supervised machine learning algorithms and conventional linear discriminant analysis.
Authors: Rani D; Department of Anthropology, Panjab University, Chandigarh, India. Electronic address: deepikatohan123@gmail.com., Krishan K; Department of Anthropology, Panjab University, Chandigarh, India. Electronic address: gargkk@yahoo.com.
Source: Journal of forensic and legal medicine [J Forensic Leg Med] 2026 May; Vol. 120, pp. 103134. Date of Electronic Publication: 2026 Apr 15.
Publication Type: Journal Article; Comparative Study
Journal Info: Publisher: Elsevier Country of Publication: England NLM ID: 101300022 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1878-7487 (Electronic) Linking ISSN: 1752928X NLM ISO Abbreviation: J Forensic Leg Med Subsets: MEDLINE
Database: MEDLINE Ultimate
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