Journal ArticleDOI
A robust data-driven approach identifies four personality types across four large data sets
TLDR
An alternative approach to the identification of personality types is developed, which is applied to four large data sets comprising more than 1.5 million participants and finds robust evidence for at least four distinct personality types, extending and refining previously suggested typologies.Abstract:
Understanding human personality has been a focus for philosophers and scientists for millennia1 It is now widely accepted that there are about five major personality domains that describe the personality profile of an individual2,3 In contrast to personality traits, the existence of personality types remains extremely controversial4 Despite the various purported personality types described in the literature, small sample sizes and the lack of reproducibility across data sets and methods have led to inconclusive results about personality types5,6 Here we develop an alternative approach to the identification of personality types, which we apply to four large data sets comprising more than 15 million participants We find robust evidence for at least four distinct personality types, extending and refining previously suggested typologies We show that these types appear as a small subset of a much more numerous set of spurious solutions in typical clustering approaches, highlighting principal limitations in the blind application of unsupervised machine learning methods to the analysis of big dataread more
Citations
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Machine learning with Python
TL;DR: This presentation is a case study taken from the travel and holiday industry and describes the effectiveness of various techniques as well as the performance of Python-based libraries such as Python Data Analysis Library (Pandas), and Scikit-learn (built on NumPy, SciPy and matplotlib).
Journal ArticleDOI
The Impact of Internet Addiction on Introvert Personality
TL;DR: In this paper , a literature study was conducted to investigate the effect of Internet addiction on introverted personality and it was concluded that there is a relationship or influence between Internet addiction and introversion.
Journal ArticleDOI
Does personality matter? Small business owners and modes of innovation
Petrik Runst,Jörg Thomä +1 more
TL;DR: In this paper, the authors show empirically that Big Five personality traits of small business owners positively affect self-selection into DUI-based innovation in less R&D-intensive SMEs.
Journal ArticleDOI
Borderline personality disorder: Definition, differential diagnosis, clinical contexts, and therapeutic approaches
TL;DR: In this paper, a new classification model of borderline personality disorder, based on five levels, is proposed, and the best suggested therapeutic approaches are discussed, together with the most effective treatment approaches.
Journal ArticleDOI
Little evidence for associations between the Big Five personality traits and variability in brain gray or white matter
TL;DR: The results indicate that if there are associations between the Big Five personality traits and brain structure, they are likely of very small effect size and will require very large samples for reliable detection.
References
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Journal Article
Scikit-learn: Machine Learning in Python
Fabian Pedregosa,Gaël Varoquaux,Alexandre Gramfort,Vincent Michel,Bertrand Thirion,Olivier Grisel,Mathieu Blondel,Peter Prettenhofer,Ron Weiss,Vincent Dubourg,Jake Vanderplas,Alexandre Passos,David Cournapeau,Matthieu Brucher,Matthieu Perrot,Edouard Duchesnay +15 more
TL;DR: Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems, focusing on bringing machine learning to non-specialists using a general-purpose high-level language.
Journal ArticleDOI
Estimating the Dimension of a Model
TL;DR: In this paper, the problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion.
Estimating the dimension of a model
TL;DR: In this paper, the problem of selecting one of a number of models of different dimensions is treated by finding its Bayes solution, and evaluating the leading terms of its asymptotic expansion.
Posted Content
Scikit-learn: Machine Learning in Python
Fabian Pedregosa,Gaël Varoquaux,Alexandre Gramfort,Vincent Michel,Bertrand Thirion,Olivier Grisel,Mathieu Blondel,Andreas Müller,Joel Nothman,Gilles Louppe,Peter Prettenhofer,Ron Weiss,Vincent Dubourg,Jake Vanderplas,Alexandre Passos,David Cournapeau,Matthieu Brucher,Matthieu Perrot,Edouard Duchesnay +18 more
TL;DR: Scikit-learn as mentioned in this paper is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems.