2 search results - page 1 / 1 » Designing semantics-preserving cluster representatives for s... |
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CIKM
2006
Springer
15 years 7 months ago
2006
Springer
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NN
2006
Springer
15 years 3 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...