Revealing structure in visualizations of dense 2D and 3D parallel coordinates
Information Visualization
Geometric visualization of clusters obtained from fuzzy clustering algorithms
Pattern Recognition
Editorial: Special issue on interpretable fuzzy systems
Information Sciences: an International Journal
Exploring hierarchical rule systems in parallel coordinates
IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis
Visualizing clusters in parallel coordinates for visual knowledge discovery
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
An evolutionary computational model applied to cluster analysis of DNA microarray data
Expert Systems with Applications: An International Journal
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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.