方法证据记录
Document Clustering
Document clustering is an unsupervised text-mining task that groups documents with similar content together without using any labels. It is used to organise large collections and for exploratory analysis, drawing on the body of text-mining techniques consolidated by Aggarwal and Zhai (2012) and compared empirically by Steinbach, Karypis and Kumar (2000).
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Document Clustering
分类方法记录 · process-pipeline / text-mining
- Aggarwal, C. C. & Zhai, C. (2012). Mining Text Data. Springer. · ISBN 9781461432227
- Steinbach, M., Karypis, G. & Kumar, V. (2000). A Comparison of Document Clustering Techniques. KDD Workshop on Text Mining. · URL
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