Feature Selection And Enhanced Krill Herd Algorithm For Text Document Clustering
Text document (TD) clustering is a new trend in text mining in which the TDs are separated into several coherent clusters, where documents in the same cluster are similar. In this study, a new method for solving the TD clustering problem worked in the following two stages: (i) A new feature selecti...
Saved in:
主要作者: | Abualigah, Laith Mohammad Qasim |
---|---|
格式: | Thesis |
語言: | English |
出版: |
2018
|
主題: | |
在線閱讀: | http://eprints.usm.my/43662/1/LAITH%20MOHAMMAD%20QASIM%20ABUALIGAH.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Improved Multi-Verse Optimizer In Text Document Clustering For Topic Extraction
由: Abasi, Ammar Kamal Mousa
出版: (2021) -
Short Text Classification Using An Enhanced Term Weighting Scheme And Filter-Wrapper Feature Selection
由: Alsmadi, Issa Mohammad Ibrahim
出版: (2018) -
Medical Image Modality Classification using Feature Weighted Clustering Approach.
由: Chandra, Bhavik Anil
出版: (2010) -
Enhancing Learning And Performance In Framework Documentation Using Use Case Map
由: Hee, Wei Loon
出版: (2016) -
Harmony search-based fuzzy clustering algorithms for image segmentation.
由: Alia, Osama Moh’d Radi
出版: (2011)