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» Finding Groups in Data: Cluster Analysis with Ants
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BMCBI
2011
13 years 1 months ago
Motif-guided sparse decomposition of gene expression data for regulatory module identification
Background: Genes work coordinately as gene modules or gene networks. Various computational approaches have been proposed to find gene modules based on gene expression data; for e...
Ting Gong, Jianhua Xuan, Li Chen, Rebecca B. Riggi...
SAINT
2003
IEEE
13 years 12 months ago
Bayesian Analysis of Online Newspaper Log Data
In this paper we address the problem of analyzing web log data collected at a typical online newspaper site. We propose a two-way clustering technique based on probability theory....
Hannes Wettig, Jussi Lahtinen, Tuomas Lepola, Petr...
PR
2006
119views more  PR 2006»
13 years 6 months ago
Fuzzy Bayesian validation for cluster analysis of yeast cell-cycle data
Clustering for the analysis of the genes organizes the patterns into groups by the similarity of the dataset and has been used for identifying the functions of the genes in the cl...
Sung-Bae Cho, Si-Ho Yoo
CORR
2010
Springer
55views Education» more  CORR 2010»
13 years 6 months ago
Using Financial Ratios to Identify Romanian Distressed Companies
In the context of the current financial crisis, when more companies are facing bankruptcy or insolvency, the paper aims to find methods to identify distressed firms by using finan...
Madalina Ecaterina Andreica, Mugurel Ionut Andreic...
CIVR
2008
Springer
125views Image Analysis» more  CIVR 2008»
13 years 8 months ago
Leveraging user query log: toward improving image data clustering
Image clustering is useful in many retrieval and classification applications. The main goal of image clustering is to partition a given dataset into salient clusters such that the...
Hao Cheng, Kien A. Hua, Khanh Vu