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SPAA
1997
ACM
15 years 2 months ago
HARP: A Fast Spectral Partitioner
- Partitioning unstructured graphs is central to the parallel solution of computational science and engineering problems. Spectral partitioners, such recursive spectral bisection (...
Horst D. Simon, Andrew Sohn, Rupak Biswas
SDM
2007
SIAM
122views Data Mining» more  SDM 2007»
14 years 11 months ago
Incremental Spectral Clustering With Application to Monitoring of Evolving Blog Communities
In recent years, spectral clustering method has gained attentions because of its superior performance compared to other traditional clustering algorithms such as K-means algorithm...
Huazhong Ning, Wei Xu, Yun Chi, Yihong Gong, Thoma...
SIGGRAPH
2009
ACM
15 years 4 months ago
Spectral mesh processing
Spectral methods for mesh processing and analysis rely on the eigenvalues, eigenvectors, or eigenspace projections derived from appropriately defined mesh operators to carry out ...
Bruno Lévy, Hao Zhang 0002
BMCBI
2010
151views more  BMCBI 2010»
14 years 10 months ago
Data reduction for spectral clustering to analyze high throughput flow cytometry data
Background: Recent biological discoveries have shown that clustering large datasets is essential for better understanding biology in many areas. Spectral clustering in particular ...
Habil Zare, Parisa Shooshtari, Arvind Gupta, Ryan ...
JPDC
2006
253views more  JPDC 2006»
14 years 10 months ago
Collaborative detection and filtering of shrew DDoS attacks using spectral analysis
This paper presents a new spectral template-matching approach to countering shrew distributed denial-of-service (DDoS) attacks. These attacks are stealthy, periodic, pulsing, and ...
Yu Chen, Kai Hwang