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» A geometric framework to visualize fuzzy-clustered data
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SCCC
2005
IEEE
13 years 10 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»
13 years 5 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
13 years 10 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
14 years 1 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
13 years 6 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