Table 1 Results of different K-Means clustering models when sub-features belonging to a given category are used (Total, Kinematic, Pressure, Tilt and Static) compared to the labeling in our database (children with dysgraphia vs school children).

From: Extending the Spectrum of Dysgraphia: A Data Driven Strategy to Estimate Handwriting Quality