8776 search results - page 84 / 1756 » Robust Data Clustering |
161
Voted
DBA
2004
15 years 6 months ago
2004
Clustering has become an increasingly important task in modern application domains. Mostly, the data are originally collected at different sites. In order to extract information f...
151
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SDM
2009
SIAM
16 years 2 months ago
2009
SIAM
To obtain correlated and complementary information contained in text mining and bibliometrics, hybrid clustering to incorporate textual content and citation information has become...
130
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ICPR
2008
IEEE
15 years 11 months ago
2008
IEEE
A novel unsupervised clustering algorithm called Hyperclique Pattern-KMEANS (HP-KMEANS) is presented. Considering recent success in semisupervised clustering using pair-wise const...
148
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IJUFKS
2007
15 years 4 months ago
2007
Abstract. Resampling methods are among the best approaches to determine the number of clusters in prototype-based clustering. The core idea is that with the right choice for the nu...
178
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MICCAI
2009
Springer
16 years 5 months ago
2009
Springer
In functional Magnetic Resonance Imaging (fMRI) data analysis, normalization of time series is an important and sometimes necessary preprocessing step in many widely used methods. ...