Unsupervised Text Classification Using Kohonen's Self Organizing Network

نویسندگان

  • Nirmalya Chowdhury
  • Diganta Saha
چکیده

A text classification method using Kohonen’s Self Organizing Network is presented here. The proposed method can classify a set of text documents into a number of classes depending on their contents where the number of such classes is not known a priori. Text documents from various faculties of games are considered for experimentation. The method is found to provide satisfactory results for large size of data.

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تاریخ انتشار 2005