Clustering textual documents by extracting sequence from word-of-graph
Document clustering is an unsupervised machine learning technique that organizes a large collection of documents into smaller, topic homogenous, meaningful sub-collections (clusters). Traditional document clustering approaches use extracted features like: word (term), phrases, sequences and topics...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Shaheed Zulfikar Ali Bhutto Institute of Science and Technology
2014-07-01
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| Series: | JISR on Computing |
| Subjects: | |
| Online Access: | https://jisrc.szabist.edu.pk/ojs/index.php/jisrc/article/view/134 |