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ESANN
2006
14 years 11 months ago
Outlier identification with the Harmonic Topographic Mapping
We review two versions of a topology preserving algorithm one of which we had previously [1] found to be more successful in defining smooth manifolds and tight clusters. In the con...
Marian Pena, Colin Fyfe
PAMI
2002
148views more  PAMI 2002»
14 years 9 months ago
Two Variations on Fisher's Linear Discriminant for Pattern Recognition
Discriminants are often used in pattern recognition to separate clusters of points in some multidimensional "feature" space. This paper provides two fast and simple techn...
Tristrom Cooke
FGCN
2008
IEEE
240views Communications» more  FGCN 2008»
15 years 4 months ago
Data Compression Algorithm Based on Hierarchical Cluster Model for Sensor Networks
A new distributed algorithm of data ccompression based on hierarchical cluster model for sensor networks is proposed, the basic ideas of which are as follows, firstly the whole se...
Tongsen Wang, Lei Wang, Zhijun Xie, Ronghua Yang
ICDM
2009
IEEE
175views Data Mining» more  ICDM 2009»
14 years 7 months ago
Maximum Margin Clustering with Multivariate Loss Function
This paper presents a simple but powerful extension of the maximum margin clustering (MMC) algorithm that optimizes multivariate performance measure specifically defined for clust...
Bin Zhao, James Tin-Yau Kwok, Changshui Zhang
EUROPAR
2003
Springer
15 years 3 months ago
Nswap: A Network Swapping Module for Linux Clusters
Cluster applications that process large amounts of data, such as parallel scientific or multimedia applications, are likely to cause swapping on individual cluster nodes. These ap...
Tia Newhall, Sean Finney, Kuzman Ganchev, Michael ...