Unsupervised learning coupled with applied factor analysis to the five-factor model (FFM), a taxonomy for personality traits used to describe the human personality and psyche, via descriptors of common language and not on neuropsychological experiments. Used kmeans clustering and feature scaling (min-max normalization).
machine-learning
psychology
factor-analysis
kmeans-clustering
personality
ffm
personality-traits
unsupervised-machine-learning
neuropsychology
factor-model
big-five-traits
min-max-optimization
min-max-normalization
neuropsychological-experiments
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Updated
Jun 19, 2021 - Jupyter Notebook