Linear Discriminative Star Coordinates for Exploring Class and Cluster Separation of High Dimensional Data

Comput. Graph. Forum, Volume 36, Issue 3, 2017, Pages 401-410.

Cited by: 15|Bibtex|Views22|Links
EI

Abstract:

One main task for domain experts in analysing their nD data is to detect and interpret class/cluster separations and outliers. In fact, an important question is, which features/dimensions separate classes best or allow a cluster-based data classification. Common approaches rely on projections from nD to 2D, which comes with some challenge...More

Code:

Data:

Your rating :
0

 

Tags
Comments