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Preview of DOI 10.17148/IARJSET.201 6.3510
🔗 Source: iarjset.com
📊 Size: 125 KB
👤 Author: IEEE
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Document clustering is applied to textual documents for authorship analysis, using techniques such as k-means algorithm to group similar documents together, with applications in automatic document organization, topic extraction, and fast information retrieval, to identify characteristics of a work and distinguish texts written by various authors.

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Document clustering is applied to textual documents for authorship analysis, using techniques such as k-means algorithm to group similar documents together,...

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  • File Format: PDF
  • File Size: 125 KB
  • Pages: 3
  • Language: EN
  • Author: IEEE
  • Total Downloads: 52
  • Last Updated: 1 week ago

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