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» Information Retrieval with Cluster Genetic
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KDD
2009
ACM
611views Data Mining» more  KDD 2009»
14 years 8 months ago
Fast approximate spectral clustering
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
Donghui Yan, Ling Huang, Michael I. Jordan
IRFC
2011
Springer
12 years 11 months ago
Multilingual Document Clustering Using Wikipedia as External Knowledge
This paper presents Multilingual Document Clustering (MDC) on comparable corpora. Wikipedia, a structured multilingual knowledge base, has been highly exploited in many monolingual...
N. Kiran Kumar, G. S. K. Santosh, Vasudeva Varma
BMCBI
2008
153views more  BMCBI 2008»
13 years 8 months ago
AWclust: point-and-click software for non-parametric population structure analysis
Background: Population structure analysis is important to genetic association studies and evolutionary investigations. Parametric approaches, e.g. STRUCTURE and L-POP, usually ass...
Xiaoyi Gao, Joshua D. Starmer
ACISICIS
2007
IEEE
14 years 2 months ago
A Modified K-means Algorithm for Noise Reduction in Optical Motion Capture Data
This paper presents a modified K-means algorithm that can be used for removing noise in multicolor motion capture image sequences. These images have been produced using the Illumi...
Jan Carlo Barca, Grace W. Rumantir
AIME
2007
Springer
14 years 2 months ago
A Concept-Based Framework for Retrieving Evidence to Support Emergency Physician Decision Making at the Point of Care
The goal of evidence-based medicine is to uniformly apply evidence gained from scientific research to aspects of clinical practice. In order to achieve this goal, new applications...
Dympna O'Sullivan, Ken Farion, Stan Matwin, Wojtek...