Abualigah, Laith Mohammad and Khader, Ahamad Tajudin and AlBetar, Mohammed Azmi and Hanandeh, Essam Said (2017) Unsupervised Text Feature Selection Technique Based on Particle Swarm Optimization Algorithm for Improving the Text Clustering. In: First EAI International Conference on Computer Science and Engineering.
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Abstract
After incensing the amount of text information on internet web pages, the dealing with this information is very complex due to the volume of information. Text clustering technique is an appropriate task to deal with a huge amount of text documents by grouping set of documents into groups. Text docum
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 10:52 |
| Last Modified: | 17 Apr 2026 17:15 |
| URI: | http://eprints.eai.eu/id/eprint/15468 |
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