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» A clustering method that uses lossy aggregation of data
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UAI
2008
15 years 8 months ago
Learning and Solving Many-Player Games through a Cluster-Based Representation
In addressing the challenge of exponential scaling with the number of agents we adopt a cluster-based representation to approximately solve asymmetric games of very many players. ...
Sevan G. Ficici, David C. Parkes, Avi Pfeffer
196
Voted
BMCBI
2006
166views more  BMCBI 2006»
15 years 6 months ago
SEQOPTICS: a protein sequence clustering system
Background: Protein sequence clustering has been widely used as a part of the analysis of protein structure and function. In most cases single linkage or graph-based clustering al...
Yonghui Chen, Kevin D. Reilly, Alan P. Sprague, Zh...
BIBM
2009
IEEE
172views Bioinformatics» more  BIBM 2009»
15 years 11 months ago
Identifying Gene Signatures from Cancer Progression Data Using Ordinal Analysis
—A comprehensive understanding of cancer progression may shed light on genetic and molecular mechanisms of oncogenesis, and it may provide much needed information for effective d...
Yoon Soo Pyon, Jing Li
ICDAR
2011
IEEE
14 years 6 months ago
A Method for Removing Inflectional Suffixes in Word Spotting of Mongolian Kanjur
Abstract—According to characteristics of Mongolian wordformation, a method for removing inflectional suffixes from word images of the Mongolian Kanjur is proposed in this paper. ...
Hongxi Wei, Guanglai Gao, Yulai Bao
SDM
2004
SIAM
212views Data Mining» more  SDM 2004»
15 years 8 months ago
Clustering with Bregman Divergences
A wide variety of distortion functions, such as squared Euclidean distance, Mahalanobis distance, Itakura-Saito distance and relative entropy, have been used for clustering. In th...
Arindam Banerjee, Srujana Merugu, Inderjit S. Dhil...