Extracting Graphological Features for Identifying Personality Traits using Agglomerative Hierarchical Clustering Algorithm

Handwriting/graphology is a unique and exclusive tool that describes one's non-verbal expression, which indirectly portrays the mental state and psychological state of a writer in a subconscious manner. The graphology analysis has been proven to identify and predict the signs of mental health d...

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Bibliographic Details

Published in:	2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) pp. 1 - 5
Main Authors:	Yusof, Noor Fazilla Abd, Zulkarnain, Nur Zareen, Ahmad, Sharifah Sakinah Syed, Othman, Zuraini, Hashim, Azura Hanim
Format:	Conference Proceeding
Language:	English
Published:	IEEE 13.09.2022
Subjects:	Artificial intelligence clustering Clustering algorithms Clustering methods Depression Feature extraction graphology handwriting machine learning Mental health personality traits Prediction algorithms
Online Access:	Get full text
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