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» A new algorithm for clustering search results
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GECCO
2005
Springer
146views Optimization» more  GECCO 2005»
14 years 1 months ago
An empirical study of the robustness of two module clustering fitness functions
Two of the attractions of search-based software engineering (SBSE) derive from the nature of the fitness functions used to guide the search. These have proved to be highly robust...
Mark Harman, Stephen Swift, Kiarash Mahdavi
IGARSS
2010
13 years 5 months ago
Spatial preprocessing for endmember extraction using unsupervised clustering and orthogonal subspace projection concepts
In this paper, we develop a new spatial preprocessing strategy which can be applied prior to a spectral-based endmember extraction process for unmixing of hyperspectral data. Our ...
Gabriel Martin, Antonio J. Plaza
LCN
2005
IEEE
14 years 1 months ago
The Time-Controlled Clustering Algorithm for Optimized Data Dissemination in Wireless Sensor Networks
—Wireless sensor networks afford a new opportunity to observe and interact with physical phenomena at an unprecedented fidelity. To fully realize this vision, these networks have...
S. Selvakennedy, Sukunesan Sinnappan
SDM
2009
SIAM
176views Data Mining» more  SDM 2009»
14 years 4 months ago
Constraint-Based Subspace Clustering.
In high dimensional data, the general performance of traditional clustering algorithms decreases. This is partly because the similarity criterion used by these algorithms becomes ...
Élisa Fromont, Adriana Prado, Céline...
ICRA
2007
IEEE
126views Robotics» more  ICRA 2007»
14 years 2 months ago
Incremental Spectral Clustering and Its Application To Topological Mapping
Abstract— This paper presents a novel use of spectral clustering algorithms to support cases where the entries in the affinity matrix are costly to compute. The method is increm...
Christoffer Valgren, Tom Duckett, Achim J. Lilient...