Full material
₦ 5,000 $(29)
| Pages | 77 |
| Delivery | Instant, after payment |
Project Details
| Department | Computer Science |
| Type | Project |
| Pages | 77 |
| Reference Style | YES |
| Format | MS Word & PDF |
| Reference No. | CPU1848 |
Abstract
ABSTRACT Document clustering is an automatic unsupervised machine learning technique that aimed at grouping related set of items into clusters or subsets. The target is to create clusters with high internal coherence, but different from each other substantially. Simply, items within the same cluster should be highly similar, while maintaining high dissimilarity with items within other clusters. Automatic clustering of documents has played a very significant role in many fields including data mining and information retrieval. This thesis aimed to improve the overall efficiency of a document cl…
This is a preview.Unlock the full abstract, all chapters and references.
Unlock Full Material
Full material
₦ 5,000 $(29)
| Pages | 77 |
| Delivery | Instant, after payment |
