42 citations · 237 across the 36 of their papers we have counts for
4 papers · 1 filter
Measure of shape for object data
Joni Virta
Object data analysis is concerned with statistical methodology for datasets whose elements reside in an arbitrary, unspecified metric space. In this work we propose the object shap…
Structure-preserving non-linear PCA for matrices
Joni Virta, Andreas Artemiou
We propose MNPCA, a novel non-linear generalization of (2D){PCA}, a classical linear method for the simultaneous dimension reduction of both rows and columns of a set of matrix…
Methods for generating and evaluating synthetic longitudinal patient data: a systematic review
Katariina Perkonoja, Kari Auranen, Joni Virta
The rapid growth in data availability has facilitated research and development, yet not all industries have benefited equally due to legal and privacy constraints. The healthcare s…
Spatial depth for data in metric spaces
Joni Virta
We propose a novel measure of statistical depth, the metric spatial depth, for data residing in an arbitrary metric space. The measure assigns high (low) values for points located…