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104
Voted
KES
2010
Springer
15 years 2 months ago
2010
Springer
Document clustering is a powerful technique that has been widely used for organizing data into smaller and manageable information kernels. Several approaches have been proposed...
132
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ICASSP
2011
IEEE
14 years 8 months ago
2011
IEEE
Clustering is a basic task in a variety of machine learning applications. Partitioning a set of input vectors into compact, wellseparated subsets can be severely affected by the p...
159
Voted
BMCBI
2008
15 years 4 months ago
2008
Background: Expressed sequence tag (EST) collections are composed of a high number of single-pass, redundant, partial sequences, which need to be processed, clustered, and annotat...
128
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CLEF
2010
Springer
15 years 5 months ago
2010
Springer
We propose to use MapReduce to quickly test new retrieval approaches on a cluster of machines by sequentially scanning all documents. We present a small case study in which we use ...
136
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KDD
2004
ACM
16 years 4 months ago
2004
ACM
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...