Clustering of Web learners based on rough set
โ Scribed by Liu Shuai-dong; Chen Shi-hong
- Publisher
- Wuhan University
- Year
- 2004
- Tongue
- English
- Weight
- 394 KB
- Volume
- 9
- Category
- Article
- ISSN
- 1007-1202
No coin nor oath required. For personal study only.
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Document clustering, the grouping of documents into several clusters, has been recognized as a means for improving efficiency and effectiveness of information retrieval and text mining. With the growing importance of electronic media for storing and exchanging large textual databases, document clust
This paper proposes a new data classi"cation method based on the tolerant rough set that extends the existing equivalent rough set. Similarity measure between two data is described by a distance function of all constituent attributes and they are de"ned to be tolerant when their similarity measure e