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BMCBI
2008
142views more  BMCBI 2008»
13 years 7 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
PAMI
2010
112views more  PAMI 2010»
13 years 6 months ago
Polynomial Time Algorithms for Ratio Regions and a Variant of Normalized Cut
—In partitioning, clustering, and grouping problems, a typical goal is to group together similar objects, or pixels in the case of image processing. At the same time, another goa...
Dorit S. Hochbaum
TKDE
2011
362views more  TKDE 2011»
13 years 2 months ago
A Link Analysis Extension of Correspondence Analysis for Mining Relational Databases
—This work introduces a link-analysis procedure for discovering relationships in a relational database or a graph, generalizing both simple and multiple correspondence analysis. ...
Luh Yen, Marco Saerens, François Fouss
SIAMREV
2010
170views more  SIAMREV 2010»
13 years 2 months ago
Network Properties Revealed through Matrix Functions
The newly emerging field of Network Science deals with the tasks of modelling, comparing and summarizing large data sets that describe complex interactions. Because pairwise affin...
Ernesto Estrada, Desmond J. Higham
ICASSP
2011
IEEE
12 years 11 months ago
When codeword frequency meets geographical location
When codeword frequency meets geographical location in landmark search applications, is it still discriminative for the search procedure? In this paper, we give a systematic inves...
Rongrong Ji, Ling-Yu Duan, Jie Chen, Hongxun Yao, ...