In this paper we present an approach using incrementally constructed neural gas networks to 'grow' an intuitive interface for interactive exploratory sonification of high-dimensional data. The sonific
Readme: Source data: Distributed in 4 different github links (Source_data_1-Source_data_4). Source data 1 includes as well the SEURAT code adapted to proteomics data used in the manuscript. 1.
This paper introduces Mode Explorer, a novel interactive auditory data exploration method to investigate features of high-dimensional data distributions: scratching-interactions on a 2D scatter plot o
