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» Intractability and clustering with constraints
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IPPS
2000
IEEE
15 years 2 months ago
Parallel Maximum-Likelihood Inversion for Estimating Wavenumber-Ordered Spectra in Emission Spectroscopy
We introduce a parallelization of the maximumlikelihood cosine transform. This transform consists of a computationally intensive iterative fitting process, but is readily decompo...
Hoda El-Sayed, Marc Salit, John Travis, Judith Ell...
EDBT
2008
ACM
167views Database» more  EDBT 2008»
15 years 9 months ago
HISSCLU: a hierarchical density-based method for semi-supervised clustering
In situations where class labels are known for a part of the objects, a cluster analysis respecting this information, i.e. semi-supervised clustering, can give insight into the cl...
Christian Böhm, Claudia Plant
ICPR
2010
IEEE
14 years 7 months ago
Semi-supervised Graph Learning: Near Strangers or Distant Relatives
In this paper, an easily implemented semi-supervised graph learning method is presented for dimensionality reduction and clustering, using the most of prior knowledge from limited...
Weifu Chen, Guocan Feng
ICIAP
2007
ACM
15 years 9 months ago
A Method of Clustering Combination Applied to Satellite Image Analysis
An algorithm for combining results of different clusterings is presented in this paper, the objective of which is to find groups of patterns which are common to all clusterings. T...
Ivan O. Kyrgyzov, Henri Maître, Marine Campe...
SIROCCO
2008
14 years 11 months ago
Distributed Approximation Algorithm for Resource Clustering
In this paper, we consider the clustering of resources on large scale platforms. More precisely, we target parallel applications consisting of independant tasks, where each task is...
Olivier Beaumont, Nicolas Bonichon, Philippe Ducho...