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TEXT CLUSTERING TECHNIQUES: A SURVEY

Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.6, No. 5)

Publication Date:

Authors : ; ; ;

Page : 248-256

Keywords : Data Mining; k-means; k-medoids; Text Clustering Techniques; Document Clustering.;

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Abstract

The advancements in the fields of mobile computing, grid computing, cloud computing, Internet of Things and primarily due to the availability of internet in the hand-held devices were the vital key factors in the growth of large amounts of data. The main challenge is to organize this big data in a structured manner that helps to derive new insights, predictive analysis and to find trends, patterns and their correlations. One of the solutions is to cluster the text, a significant technique of data mining. This paper investigates various techniques experimented in text clustering. It also describes the process of text clustering along with various similarity measures.

Last modified: 2017-05-11 19:03:44