Automatic Arabic Text Clustering using K-means and K-mediods
نویسندگان
چکیده
منابع مشابه
Comparing between Arabic Text Clustering using K Means and K Mediods
In this study we have implemented the Kmeans and Kmediods algorithms in order to make a practical comparison between them. The system was tested using a manual set of clusters that consists from 242 predefined clustering documents. The results showed a good indication about using them especially for Kmediods. The average precision and recall for Kmeans compared with Kmediods are 0.56, 0.52, 0.6...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2012
ISSN: 0975-8887
DOI: 10.5120/8012-0675