dPCA is a linear dimensionality reduction technique that automatically discovers and highlights the essential features of complex population activities. The population activity is decomposed into a ...

Abstract: Dimensionality reduction methods are employed to decrease data dimensionality, either to enhance machine learning performance or to facilitate data visualization in two or three-dimensional ...

Orange Data Mining is a Python based visual programming software that has been used widely in many scientific publications. Principal component analysis (PCA) is one of the most common exploratory ...

Through AI frameworks and libraries, businesses can build and craft their AI solutions to realise efficiencies and optimisations that yield real returns Software plays a crucial role in streamlining ...

Design is an iterative process of creating a structure and telling a story. The structure provides utility, while the story fosters connection. Although the design process is dynamic, I often find ...

pyforce is a Python package implementing Data-Driven Reduced Order Modelling (DDROM) techniques for applications to multi-physics problems, mainly set in the Nuclear Engineering world. The package is ...