42 search results - page 3 / 9 » A Robust Fuzzy Local Information C-Means Clustering Algorith... |
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
Unsupervised learning methods often involve summarizing the data using a small number of parameters. In certain domains, only a small subset of the available data is relevant for ...
101
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ICTAI
2008
IEEE
15 years 4 months ago
2008
IEEE
The main challenge of cluster analysis is that the number of clusters or the number of model parameters is seldom known, and it must therefore be determined before clustering. Bay...
121
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TASE
2010
IEEE
14 years 4 months ago
2010
IEEE
This paper presents a robust calibration procedure for clustered wireless sensor networks. Accurate calibration of between-node distances is one crucial step in localizing sensor n...
BMCBI
2007
14 years 9 months ago
2007
Background: Data clustering analysis has been extensively applied to extract information from gene expression profiles obtained with DNA microarrays. To this aim, existing cluster...
114
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CBMS
2004
IEEE
15 years 1 months ago
2004
IEEE
A new algorithm is proposed for performing unsupervised tissue classification in medical images by integrating conventional clustering techniques with edge-adaptive segmentation t...