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CLEF
2010
Springer
13 years 9 months ago
MapReduce for Information Retrieval Evaluation: "Let's Quickly Test This on 12 TB of Data"
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 ...
Djoerd Hiemstra, Claudia Hauff
CORR
2010
Springer
102views Education» more  CORR 2010»
13 years 8 months ago
MIREX: MapReduce Information Retrieval Experiments
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...
Djoerd Hiemstra, Claudia Hauff
EP
1998
Springer
14 years 4 days ago
Generating, Visualizing, and Evaluating High-Quality Clusters for Information Organization
We present and analyze the star clustering algorithm. We discuss an implementation of this algorithm that supports browsing and document retrieval through information organization...
Javed A. Aslam, Katya Pelekhov, Daniela Rus
BMCBI
2008
142views more  BMCBI 2008»
13 years 8 months ago
Genetic weighted k-means algorithm for clustering large-scale gene expression data
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...
Fang-Xiang Wu
APBC
2004
164views Bioinformatics» more  APBC 2004»
13 years 9 months ago
Cluster Ensemble and Its Applications in Gene Expression Analysis
Huge amount of gene expression data have been generated as a result of the human genomic project. Clustering has been used extensively in mining these gene expression data to find...
Xiaohua Hu, Illhoi Yoo