Multi-dimensional Data Analysis Platform (MuDAP): A Versatile Analysis Toolbox for Multi-dimensional Perception Data

Human perception is always formed by information from multiple sources with complex inner structures. When viewing a face, for instance, human vision system would automatically perceive its identity, expression, and social characteristics. However, considering the fact that many social characteristics are indeed intertwined with each other, previous researchers typically use mathematical methods like principal component analysis (PCA) to reduce data dimension for later analysis. However, correctly using PCA is hard even with statistics softwares. This paper introduces a new versatile data analysis platform, which is powered by state-of-the-art computer science technique, to propose a new analysis method dealing with multiple dimensional data analysis. The algorithm utilizes most of the available data and offers a new way to analyze and visualize the data. This platform is easy to use for researchers who are not familiar with neural network and would be practical to researchers from different disciplines dealing with human data.