CORDIS Project
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This project develops new methodologies for analyzing high-dimensional data using diffusion operators. By focusing on structured data rather than raw samples, it aims to improve data analysis techniques across various fields, including sensor fusion and time-series analysis.
Nowadays, extensive collection and storage of massive data sets have become a routine in multiple disciplines and in everyday life.
These large amounts of intricate data often make data samples arithmetic and basic comparisons problematic, raising new challenges to traditional data analysis objectives such as filtering and prediction.
Furthermore, the availability of such data constantly pushes the boundaries of data analysis to new emerging domains, ranging from neuronal and social network anal…
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