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» An overview of clustering methods
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ACL
2009
15 years 4 months ago
Phrase Clustering for Discriminative Learning
We present a simple and scalable algorithm for clustering tens of millions of phrases and use the resulting clusters as features in discriminative classifiers. To demonstrate the ...
Dekang Lin, Xiaoyun Wu
DEXAW
2007
IEEE
135views Database» more  DEXAW 2007»
16 years 1 months ago
Unsupervised Learning of Manifolds via Linear Approximations
In this paper, we examine the application of manifold learning to the clustering problem. The method used is Locality Preserving Projections (LPP), which is chosen because of its ...
Hassan A. Kingravi, M. Emre Celebi, Pragya P. Raja...
DATESO
2004
84views Database» more  DATESO 2004»
15 years 8 months ago
Query Expansion and Evolution of Topic in Information Retrieval Systems
Approach based on clustering will be described in our paper. Basic version of our system was given in [5] allows us to expand query through special index. Hierarchical agglomerativ...
Jiri Dvorský, Jan Martinovic, Václav...
SIGMOD
2009
ACM
140views Database» more  SIGMOD 2009»
16 years 6 months ago
Distributed data-parallel computing using a high-level programming language
The Dryad and DryadLINQ systems offer a new programming model for large scale data-parallel computing. They generalize previous execution environments such as SQL and MapReduce in...
Michael Isard, Yuan Yu
IPPS
2008
IEEE
16 years 1 months ago
Introducing gravel: An MPI companion library
A non-trivial challenge in high performance, cluster computing is the communication overhead introduced by the cluster interconnect. A common strategy for addressing this challeng...
Anthony Danalis, Aaron Brown, Lori L. Pollock, D. ...