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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| フォーマット: | 学位論文 |
| 言語: | 英語 |
| 出版事項: |
2011
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| 主題: | |
| オンライン･アクセス: | http://eprints.utm.my/36947/1/MohdZakreeAhmadNazriPFSKSM2011.pdf |