2 search results - page 1 / 1 » Designing semantics-preserving cluster representatives for s... |
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Voted
CIKM
2006
Springer
15 years 2 months ago
2006
Springer
NN
2006
Springer
14 years 11 months ago
2006
Springer
This paper presents an on-line unsupervised learning mechanism for unlabeled data that are polluted by noise. Using a similarity thresholdbased and a local error-based insertion c...