TY  - CONF
ID  - rehm2006ipmu
T1  - Rule Classification Visualization of High-Dimensional Data
A1  - Rehm, Frank
A1  - Klawonn, Frank
A1  - Kruse, Rudolf
TI  - Proceedings of the International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU-06)
Y1  - 2006
N2  - This paper presents an approach to visualize high-dimensional fuzzy
classification rules and the corresponding classified data set in the
plane. This enables the observer to check visually to which degree a fea-
ture vector is classified by a certain rule. Also misclassified feature vec-
tors can be well spotted and conflicting or error-prone rules can be iden-
tified.
ER  -