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BMCBI
2006
164views more  BMCBI 2006»
13 years 9 months ago
Evaluation of clustering algorithms for gene expression data
Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
Susmita Datta, Somnath Datta
ECIR
2006
Springer
13 years 11 months ago
Phrase Clustering Without Document Context
Abstract. We applied different clustering algorithms to the task of clustering multi-word terms in order to reflect a humanly built ontology. Clustering was done without the usual ...
Eric SanJuan, Fidelia Ibekwe-Sanjuan
ESIAT
2009
IEEE
13 years 7 months ago
Study on Architecture of Photogrammetric Parallel Processing System Based on Cluster Computing
Comparing with the rapidly increasing acquiring technology for remotely sensed data, the data processing technologies have been following behind, especially in computing speed and ...
Liu Hangye, Sui Xuelian, Zong Jingchun
ICDM
2008
IEEE
118views Data Mining» more  ICDM 2008»
14 years 4 months ago
Dirichlet Process Based Evolutionary Clustering
Evolutionary Clustering has emerged as an important research topic in recent literature of data mining, and solutions to this problem have found a wide spectrum of applications, p...
Tianbing Xu, Zhongfei (Mark) Zhang, Philip S. Yu, ...
ECAI
2008
Springer
13 years 11 months ago
Word Sense Induction Using Graphs of Collocations
Word Sense Induction (WSI) is the task of identifying the different senses (uses) of a target word in a given text. Traditional graph-based approaches create and then cluster a gra...
Ioannis P. Klapaftis, Suresh Manandhar