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» Finding Groups in Data: Cluster Analysis with Ants
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KDD
2008
ACM
284views Data Mining» more  KDD 2008»
16 years 7 days ago
Community evolution in dynamic multi-mode networks
A multi-mode network typically consists of multiple heterogeneous social actors among which various types of interactions could occur. Identifying communities in a multi-mode netw...
Lei Tang, Huan Liu, Jianping Zhang, Zohreh Nazeri
IDEAL
2010
Springer
14 years 9 months ago
An Efficient Approach to Clustering Real-Estate Listings
World Wide Web (WWW) is a vast source of information, the problem of information overload is more acute than ever. Due to noise in WWW, it is becoming hard to find usable informati...
Maciej Grzenda, Deepak Thukral
BMCBI
2002
99views more  BMCBI 2002»
14 years 11 months ago
FunSpec: a web-based cluster interpreter for yeast
Background: For effective exposition of biological information, especially with regard to analysis of large-scale data types, researchers need immediate access to multiple categor...
Mark D. Robinson, Jörg Grigull, Naveed Mohamm...
JMLR
2010
179views more  JMLR 2010»
14 years 6 months ago
PAC-Bayesian Analysis of Co-clustering and Beyond
We derive PAC-Bayesian generalization bounds for supervised and unsupervised learning models based on clustering, such as co-clustering, matrix tri-factorization, graphical models...
Yevgeny Seldin, Naftali Tishby
BMCBI
2010
153views more  BMCBI 2010»
14 years 12 months ago
GOAL: A software tool for assessing biological significance of genes groups
Background: Modern high throughput experimental techniques such as DNA microarrays often result in large lists of genes. Computational biology tools such as clustering are then us...
Alain B. Tchagang, Alexander Gawronski, Hugo B&eac...