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Comparing and Unifying Search-Based and Similarity-Based Approaches to Semi-Supervised Clustering

(2003)

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Semi-supervised clustering employs a small amount of labeled data to aid unsupervised learning. Previous work in the area has em- ployed one of two approaches: 1) Search- based methods that utilize supervised data to guide the search for the best clustering, and 2) Similarity-based methods that use super- vised data to adapt the underlyin...更多

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