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» A geometric framework to visualize fuzzy-clustered data
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SCCC
2005
IEEE
10 years 7 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 mult...
Yuanquan Zhang, Luis Rueda
PR
2006
84views more  PR 2006»
10 years 1 months ago
Geometric visualization of clusters obtained from fuzzy clustering algorithms
Fuzzy-clustering methods, such as fuzzy k-means and Expectation Maximization, allow an object to be assigned to multiple clusters with different degrees of membership. However, th...
Luis Rueda, Yuanquan Zhang
VISUALIZATION
2003
IEEE
10 years 6 months ago
Chameleon: An interactive texture-based rendering framework for visualizing three-dimensional vector fields
In this paper we present an interactive texture-based technique for visualizing three-dimensional vector fields. The goal of the algorithm is to provide a general volume renderin...
Guo-Shi Li, Udeepta Bordoloi, Han-Wei Shen
CVPR
2010
IEEE
10 years 9 months ago
Disambiguating Visual Relations Using Loop Constraints
Repetitive and ambiguous visual structures in general pose a severe problem in many computer vision applications. Identification of incorrect geometric relations between images s...
Christopher Zach, Manfred Klopschitz, Marc Pollefe...
APVIS
2008
10 years 2 months ago
Interactive Storyboard for Overall Time-Varying Data Visualization
Large amounts of time-varying datasets create great challenges for users to understand and explore them. This paper proposes an efficient visualization method for observing overal...
Aidong Lu, Han-Wei Shen
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