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» Information Retrieval with Cluster Genetic
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CIKM
2007
Springer
15 years 8 months ago
Semiautomatic evaluation of retrieval systems using document similarities
Taking advantage of the well-known cluster hypothesis that “closely associated documents tend to be relevant to the same request”, we can use inter-document similarity to prov...
Ben Carterette, James Allan
140
Voted
BMCBI
2008
204views more  BMCBI 2008»
15 years 2 months ago
EST2uni: an open, parallel tool for automated EST analysis and database creation, with a data mining web interface and microarra
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...
Javier Forment, Francisco Gilabert Villamón...
BMCBI
2010
214views more  BMCBI 2010»
15 years 2 months ago
AutoSOME: a clustering method for identifying gene expression modules without prior knowledge of cluster number
Background: Clustering the information content of large high-dimensional gene expression datasets has widespread application in "omics" biology. Unfortunately, the under...
Aaron M. Newman, James B. Cooper
SIGMOD
2011
ACM
269views Database» more  SIGMOD 2011»
14 years 4 months ago
Advancing data clustering via projective clustering ensembles
Projective Clustering Ensembles (PCE) are a very recent advance in data clustering research which combines the two powerful tools of clustering ensembles and projective clustering...
Francesco Gullo, Carlotta Domeniconi, Andrea Tagar...
SIGIR
2004
ACM
15 years 7 months ago
Document clustering via adaptive subspace iteration
Document clustering has long been an important problem in information retrieval. In this paper, we present a new clustering algorithm ASI1, which uses explicitly modeling of the s...
Tao Li, Sheng Ma, Mitsunori Ogihara