Title :
Visualizing fuzzy points in parallel coordinates
Author :
Berthold, Michael R. ; Hall, Lawrence O.
Author_Institution :
Tripos Inc., San Francisco, CA, USA
fDate :
6/1/2003 12:00:00 AM
Abstract :
Exploratory data analysis heavily relies on methods to visualize data and models in a user friendly and interpretable manner. We show how models consisting of a collection of fuzzy points can be visualized in parallel coordinates. In contrast to existing techniques that display only lines representing centroids or shaded areas showing the general variance of cluster centers, the proposed technique shows the spread of the fuzzy membership in each dimension in detail. This allows for a better interpretation of overlap in fuzzy rules.
Keywords :
data visualisation; fuzzy set theory; pattern clustering; exploratory data analysis; fuzzy membership; fuzzy points visualization; fuzzy rules; parallel coordinates; Computer science; Data analysis; Data visualization; Fuzzy logic; Military computing; Multidimensional systems; Principal component analysis; Scattering; Two dimensional displays;
Journal_Title :
Fuzzy Systems, IEEE Transactions on
DOI :
10.1109/TFUZZ.2003.812696