Zhong, 2006 - Google Patents
Semi-supervised model-based document clustering: A comparative studyZhong, 2006
View PDF- Document ID
- 7025076417160668850
- Author
- Zhong S
- Publication year
- Publication venue
- Machine learning
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Snippet
Semi-supervised learning has become an attractive methodology for improving classification models and is often viewed as using unlabeled data to aid supervised learning. However, it can also be viewed as using labeled data to help clustering, namely, semi-supervised …
- 230000000052 comparative effect 0 title description 3
Classifications
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- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30705—Clustering or classification
- G06F17/3071—Clustering or classification including class or cluster creation or modification
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