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» Expectation-MiniMax Approach to Clustering Analysis
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PR
2006
116views more  PR 2006»
13 years 10 months ago
Shared farthest neighbor approach to clustering of high dimensionality, low cardinality data
Clustering algorithms are routinely used in biomedical disciplines, and are a basic tool in bioinformatics. Depending on the task at hand, there are two most popular options, the ...
Stefano Rovetta, Francesco Masulli
JOT
2010
153views more  JOT 2010»
13 years 9 months ago
Identification of System Software Components Using Clustering Approach
The selection of software architecture style is an important decision of design stage, and has a significant impact on various system quality attributes. To determine software arc...
Gholamreza Shahmohammadi, Saeed Jalili, Seyed Moha...
CORR
2010
Springer
131views Education» more  CORR 2010»
13 years 11 months ago
A PAC-Bayesian Analysis of Graph Clustering and Pairwise Clustering
We formulate weighted graph clustering as a prediction problem1 : given a subset of edge weights we analyze the ability of graph clustering to predict the remaining edge weights. ...
Yevgeny Seldin
IGARSS
2009
13 years 8 months ago
Endmember Extraction from Hyperspectral Imagery using a Parallel Ensemble Approach with Consensus Analysis
We have explored in this paper a framework to test in a quantitative manner the stability of different endmember extraction and spectral unmixing algorithms based on the concept o...
Fermin Ayuso, Javier Setoain, Manuel Prieto, Chris...
ISI
2008
Springer
13 years 10 months ago
A framework for privacy-preserving cluster analysis
Abstract--Releasing person-specific data could potentially reveal sensitive information of individuals. k-anonymization is a promising privacy protection mechanism in data publishi...
Benjamin C. M. Fung, Ke Wang, Lingyu Wang, Mourad ...