Clustering scientific articles based on the k_means algorithm Case Study: Iranian Research Institute for information Science and Technology (IranDoc)

Clustering scientific articles based on the k_means algorithm Case Study: Iranian Research Institute for information Science and Technology (IranDoc)

With increasing growth of Web-based resources and articles, the use of quick and inexpensive ways to access the texts from the vast collection of these documents is important. The main objective of this research is to cluster the database of Iranian Research Institute for Information Science and Tec...

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Bibliographic Details
Main Authors: Adel Soleimani Nezhad, Mozhdeh salajegheh, Elham Tayyebi Nia
Format: Article
Language:fas
Published: Iranian Research Institute for Information and Technology 2019-03-01
Series:Iranian Journal of Information Processing & Management
Subjects:
text mining
clustering
k_means algorithm
euclidean distance function criterion
irandoc database
Online Access:http://jipm.irandoc.ac.ir/article-1-3675-en.html

Internet

http://jipm.irandoc.ac.ir/article-1-3675-en.html

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