Semi-supervised clustering algorithms use a small amount of supervision information in the form of labeled data or pairwise constraints to improve clustering performance.
半监督聚类通过利用少量有标号样本或成对约束等监督信息来提高聚类性能。
The problem of combining a small set of labeled data with a large pool of unlabeled data for text classification task has been extensively studied.
采用少量已标记和大量未标记文档进行文本分类已成为一种重要研究趋势。
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