Taxonomy learning from Malay texts using artificial immune system based clustering
In taxonomy learning from texts, the extracted features that are used to describe the context of a term usually are erroneous and sparse. Various attempts to overcome data sparseness and noise have been made using clustering algorithm such as Hierarchical Agglomerative Clustering (HAC), Bisecting K-...
Saved in:
| 主要作者: | |
|---|---|
| 格式: | Thesis |
| 语言: | English |
| 出版: |
2011
|
| 主题: | |
| 在线阅读: | http://eprints.utm.my/id/eprint/36947/1/MohdZakreeAhmadNazriPFSKSM2011.pdf |
| 标签: |
添加标签
没有标签, 成为第一个标记此记录!
|