In the advent of big data era, interactive visualization of large data sets consisting of M* 10^
5+ high-dimensional feature vectors of length N (N~ 10^ 3+), is an indispensable tool for …

Interactive visual exploration of large and multidimensional data still needs more efficient
ND → 2D data embedding (DE) algorithms. We claim that the visualization of very high …

We investigate how the quality and computational complexity of the golden standards of
high-dimensional data (HDD) visualisation-the t-SNE and UMAP algorithms-change with …

Interactive visual exploration of large high-dimensional data (HDD) plays a very important
role in various scientific fields that require aggregated information about the …

We investigate how the quality and computational complexity of the golden standards of
high-dimensional data (HDD) visualisation-the t-SNE and UMAP algorithms-change with …

최근 인터랙션이 되는 정보 시각화 프로젝트들은 정보의 관계성을 바탕으로 한 새로운 정보
해석의 가능성을 열어주고 있다. 역사정보 또한 그 맥락을 이해하기 위해 정보 간의 관계성을 …

Embedding of high-dimensional data to 2D (3D) Euclidean space is an important data
science technique for visual exploration of data and knowledge extraction. Though many …