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SCCC
2005
IEEE

A geometric framework to visualize fuzzy-clustered data

10 years 5 months ago
A geometric framework to visualize fuzzy-clustered data
— Fuzzy clustering methods have been widely used in many applications. These methods, including fuzzy k-means and Expectation Maximization, allow an object to be assigned to multi-clusters with different degrees of membership. However, the memberships that result from fuzzy clustering algorithms are difficult to analyze and visualize, and usually are converted to 0-1 memberships. In this paper, we propose a geometric framework to visualize fuzzy-clustered data. The scheme provides a geometric visualization by grouping the objects with similar cluster membership, and shows clear advantages over existing methods, demonstrating its capabilities for viewing and navigating intercluster relationships in a spatial manner.
Yuanquan Zhang, Luis Rueda
Added 25 Jun 2010
Updated 25 Jun 2010
Type Conference
Year 2005
Where SCCC
Authors Yuanquan Zhang, Luis Rueda
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