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-...
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| 格式: | Thesis |
| 语言: | 英语 |
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2011
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| 在线阅读: | http://eprints.utm.my/36947/1/MohdZakreeAhmadNazriPFSKSM2011.pdf |