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» Limits of Spectral Clustering
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SSPR
2004
Springer
14 years 3 months ago
Learning from General Label Constraints
Most machine learning algorithms are designed either for supervised or for unsupervised learning, notably classification and clustering. Practical problems in bioinformatics and i...
Tijl De Bie, Johan A. K. Suykens, Bart De Moor
BMCBI
2004
96views more  BMCBI 2004»
13 years 9 months ago
A hybrid clustering approach to recognition of protein families in 114 microbial genomes
Background: Grouping proteins into sequence-based clusters is a fundamental step in many bioinformatic analyses (e.g., homology-based prediction of structure or function). Standar...
Timothy J. Harlow, J. Peter Gogarten, Mark A. Raga...
CCGRID
2009
IEEE
14 years 2 months ago
File Clustering Based Replication Algorithm in a Grid Environment
Replication in grid file systems can significantly improves I/O performance of data-intensive applications. However, most of existing replication techniques apply to individual ...
Hitoshi Sato, Satoshi Matsuoka, Toshio Endo
CVPR
2008
IEEE
14 years 11 months ago
Large-scale manifold learning
This paper examines the problem of extracting lowdimensional manifold structure given millions of highdimensional face images. Specifically, we address the computational challenge...
Ameet Talwalkar, Sanjiv Kumar, Henry A. Rowley
INFOCOM
2008
IEEE
14 years 4 months ago
Characterizing and Modelling Clustering Features in AS-Level Internet Topology
The AS-level Internet topology has shown significant clustering features. In this paper, we propose a new set of clustering metrics and conduct extensive measurement on the AS-le...
Yan Li, Jun-Hong Cui, Dario Maggiorini, Michalis F...