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PREDICTION OF DEMOGRAPHICAL CHARACTERISTICS USING K-MEANS ALGORITHMS

Year 2020, Volume: 38 Issue: 2, 1051 - 1059, 01.06.2021

Abstract

It is crucially important to predict demographic characteristics of criminals from the footprint area at the crime scene. Demographic characteristics include age, weight, height and gender. This article has thus investigated the effect of the tibial rotations on predictions of the demographical characteristics using the K-Means (KM) clustering algorithms. Satisfactorily important predictions have been carried out through the dataset consisting of 484 healthy subjects in the designed study here. The produced results revealed that it is of great potentiality to do also for criminals. The results are therefore believed to be vitally important for most fields of forensic science. Specifically, it can provide important clues when diagnosing criminals. Note that the KM algorithms have been found to be very encouraging processing system for modelling in the assessment of the demographic characteristics.

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There are 21 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Research Articles
Authors

Murat Sarı This is me 0000-0003-0508-2917

Can Tuna This is me 0000-0002-1459-8782

Ibrahim Demır This is me 0000-0002-2734-4116

Publication Date June 1, 2021
Submission Date November 5, 2019
Published in Issue Year 2020 Volume: 38 Issue: 2

Cite

Vancouver Sarı M, Tuna C, Demır I. PREDICTION OF DEMOGRAPHICAL CHARACTERISTICS USING K-MEANS ALGORITHMS. SIGMA. 2021;38(2):1051-9.

IMPORTANT NOTE: JOURNAL SUBMISSION LINK https://eds.yildiz.edu.tr/sigma/