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» Advances in constrained clustering
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VISUALIZATION
2000
IEEE
14 years 2 months ago
Topology preserving compression of 2D vector fields
We present an algorithm for compressing 2D vector fields that preserves topology. Our approach is to simplify the given data set using constrained clustering. We employ different...
Suresh K. Lodha, Jose C. Renteria, Krishna M. Rosk...
CHI
1999
ACM
14 years 2 months ago
Chat Circles
Although current online chat environments provide new opportunities for communication, they are quite constrained in their ability to convey many important pieces of social inform...
Fernanda B. Viégas, Judith S. Donath
NIPS
2003
13 years 11 months ago
Optimal Manifold Representation of Data: An Information Theoretic Approach
We introduce an information theoretic method for nonparametric, nonlinear dimensionality reduction, based on the infinite cluster limit of rate distortion theory. By constraining...
Denis V. Chigirev, William Bialek
CORR
2008
Springer
121views Education» more  CORR 2008»
13 years 10 months ago
On the Application of Hierarchical Coevolutionary Genetic Algorithms: Recombination and Evaluation Partners
This paper examines the use of a hierarchical coevolutionary genetic algorithm under different partnering strategies. Cascading clusters of sub-populations are built from the bott...
Uwe Aickelin, Larry Bull
ICASSP
2011
IEEE
13 years 1 months ago
Marker-based Hierarchical Segmentation and classification approach for hyperspectral imagery
The Hierarchical SEGmentation (HSEG) algorithm, which is a combination of hierarchical step-wise optimization and spectral clustering, has given good performances for hyperspectra...
Yuliya Tarabalka, James C. Tilton, Jon Atli Benedi...