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» Cluster validation using information stability measures
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UM
2009
Springer
15 years 4 months ago
Adaptive Clustering of Search Results
Clustering of search results has been shown to be advantageous over the simple list presentation of search results. However, in most clustering interfaces, the clusters are not ada...
Xuehua Shen, ChengXiang Zhai, Nicholas J. Belkin
IPPS
2005
IEEE
15 years 3 months ago
Exploring the Energy-Time Tradeoff in MPI Programs on a Power-Scalable Cluster
Recently, energy has become an important issue in highperformance computing. For example, supercomputers that have energy in mind, such as BlueGene/L, have been built; the idea is...
Vincent W. Freeh, Feng Pan, Nandini Kappiah, David...
IJCV
2000
129views more  IJCV 2000»
14 years 9 months ago
Evaluation of Interest Point Detectors
Many different low-level feature detectors exist and it is widely agreed that the evaluation of detectors is important. In this paper we introduce two evaluation criteria for inter...
Cordelia Schmid, Roger Mohr, Christian Bauckhage
VLDB
2009
ACM
159views Database» more  VLDB 2009»
15 years 10 months ago
Anytime measures for top-k algorithms on exact and fuzzy data sets
Top-k queries on large multi-attribute data sets are fundamental operations in information retrieval and ranking applications. In this article, we initiate research on the anytime ...
Benjamin Arai, Gautam Das, Dimitrios Gunopulos, Ni...
BMCBI
2008
134views more  BMCBI 2008»
14 years 10 months ago
Clustering cancer gene expression data: a comparative study
Background The use of clustering methods for the discovery of cancer subtypes has drawn a great deal of attention in the scientific community. While bioinformaticians have propose...
Marcílio Carlos Pereira de Souto, Ivan G. C...