International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 115 | Views: 253

Review Papers | Computer Science & Engineering | India | Volume 3 Issue 12, December 2014 | Popularity: 6.6 / 10


     

Effective Text Clustering Method Based on Huffman Encoding Algorithm

Nikhil Pawar


Abstract: Huffman encoding algorithm is used to encode data instances in to integer, clustering performed on integer instances is much more effective than clustering performed on string instances. This is very effective technique to improve clustering accuracy of text data; it has been observed that traditional clustering methods not perform well on string attributes.


Keywords: accuracy, cluster analysis, huffman encoding, machine learning


Edition: Volume 3 Issue 12, December 2014


Pages: 901 - 903



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Nikhil Pawar, "Effective Text Clustering Method Based on Huffman Encoding Algorithm", International Journal of Science and Research (IJSR), Volume 3 Issue 12, December 2014, pp. 901-903, https://www.ijsr.net/getabstract.php?paperid=SUB14561, DOI: https://www.doi.org/10.21275/SUB14561



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