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

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