2556 search results - page 75 / 512 » Clustering processes |
137
Voted
BMCBI
2008
15 years 3 months ago
2008
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
143
Voted
INFOCOM
2003
IEEE
15 years 9 months ago
2003
IEEE
— A wireless network consisting of a large number of small sensors with low-power transceivers can be an effective tool for gathering data in a variety of environments. The data ...
109
Voted
OTM
2005
Springer
15 years 9 months ago
2005
Springer
Abstract. Between high-performance clusters and grids appears an intermediate infrastructure called cluster grid that corresponds to the interconnection of clusters through the Int...
152
Voted
SNPD
2003
15 years 5 months ago
2003
Specific requirements of stream processing on the Grid are discussed. We argue that when the stream processing paradigm is used for cluster computing, the processing components c...
143
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EMNLP
2010
15 years 1 months ago
2010
Graph-based methods have gained attention in many areas of Natural Language Processing (NLP) including Word Sense Disambiguation (WSD), text summarization, keyword extraction and ...