| Year |
2024 |
| Volume/Issue/Review Month |
Volume 1 | Special Issue | October |
| Title |
K-Means Clustering and Predictive Dependence of Personality Traits in Dark Triad Model |
| Authors |
Rushil Varma, Archana Sharma, Namita Rath, Alok Kumar Sahai |
| Broad area |
K-Means Clustering and Predictive Dependence of Personality Traits in Dark Triad Model |
| Abstract |
In this paper, we have used K-Means Clustering to investigate dark personality clustering
in a very large database comprising 18,192 respondents. The data was normalized and then
subjected to unsupervised machine learning to classify it into four separate clusters. We also
evaluated the interdependence of the three dark traits using bivariate correlations. To investigate
the predictive dependence of the three dark traits each pair was regressed on the third dark
trait.The four clusters showed marked values of dark traits ranging from the most modestly dark
personality with medium to low values of Machiavellianism, Narcissism and Psychopathy to the
extreme dark personality with highest values of the three dark traits. These cluster are plotted in
three dimensions using python software. To evaluate the interdependence of the personality traits
intraclass (0.537) and Pearson’s correlations were computed. Pearson’s correlation between
Machiavellianism and Psychopathy was highest at 0.721 and the same was corroborated by the
regression equations between the two traits. Narcissism showed equal correlations with
Machiavellianism (0.475) and Psychopathy (0.453). Regression equation revealed that
Machiavellianism was most significantly affected by Psychopathy and vice versa. Regression results
for Machiavellianism and Psychopathy indicated fair predictive capabilities with R2 values of
0.547 and 0.535 respectively. |
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| Referenceses |
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