PREDICTION OF DEMOGRAPHICAL CHARACTERISTICS USING K-MEANS ALGORITHMS

Murat Sarı; Can Tuna; Ibrahim Demır

PREDICTION OF DEMOGRAPHICAL CHARACTERISTICS USING K-MEANS ALGORITHMS

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.

Keywords

References

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Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Authors

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

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

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

Publication Date

June 1, 2021

Submission Date

November 5, 2019

Acceptance Date

May 12, 2020

Published in Issue

Year 2020 Volume: 38 Number: 2

IZ

https://izlik.org/JA38YJ52RD

Cite

RIS / Bibtex

APA

Sarı, M., Tuna, C., & Demır, I. (2021). PREDICTION OF DEMOGRAPHICAL CHARACTERISTICS USING K-MEANS ALGORITHMS. Sigma Journal of Engineering and Natural Sciences, 38(2), 1051-1059. https://izlik.org/JA38YJ52RD

AMA

1.Sarı M, Tuna C, Demır I. PREDICTION OF DEMOGRAPHICAL CHARACTERISTICS USING K-MEANS ALGORITHMS. SIGMA. 2021;38(2):1051-1059. https://izlik.org/JA38YJ52RD

Chicago

Sarı, Murat, Can Tuna, and Ibrahim Demır. 2021. “PREDICTION OF DEMOGRAPHICAL CHARACTERISTICS USING K-MEANS ALGORITHMS”. Sigma Journal of Engineering and Natural Sciences 38 (2): 1051-59. https://izlik.org/JA38YJ52RD.

EndNote

Sarı M, Tuna C, Demır I (June 1, 2021) PREDICTION OF DEMOGRAPHICAL CHARACTERISTICS USING K-MEANS ALGORITHMS. Sigma Journal of Engineering and Natural Sciences 38 2 1051–1059.

IEEE

[1]M. Sarı, C. Tuna, and I. Demır, “PREDICTION OF DEMOGRAPHICAL CHARACTERISTICS USING K-MEANS ALGORITHMS”, SIGMA, vol. 38, no. 2, pp. 1051–1059, June 2021, [Online]. Available: https://izlik.org/JA38YJ52RD

ISNAD

Sarı, Murat - Tuna, Can - Demır, Ibrahim. “PREDICTION OF DEMOGRAPHICAL CHARACTERISTICS USING K-MEANS ALGORITHMS”. Sigma Journal of Engineering and Natural Sciences 38/2 (June 1, 2021): 1051-1059. https://izlik.org/JA38YJ52RD.

JAMA

1.Sarı M, Tuna C, Demır I. PREDICTION OF DEMOGRAPHICAL CHARACTERISTICS USING K-MEANS ALGORITHMS. SIGMA. 2021;38:1051–1059.

MLA

Sarı, Murat, et al. “PREDICTION OF DEMOGRAPHICAL CHARACTERISTICS USING K-MEANS ALGORITHMS”. Sigma Journal of Engineering and Natural Sciences, vol. 38, no. 2, June 2021, pp. 1051-9, https://izlik.org/JA38YJ52RD.

Vancouver

1.Murat Sarı, Can Tuna, Ibrahim Demır. PREDICTION OF DEMOGRAPHICAL CHARACTERISTICS USING K-MEANS ALGORITHMS. SIGMA [Internet]. 2021 Jun. 1;38(2):1051-9. Available from: https://izlik.org/JA38YJ52RD