Abstract
With the ongoing growth of users and advancement in technology to communicate and to share large volumes of data & information on the web, data mining have been widely researched topic by different groups and organizations. Text mining which is a subclass of data mining is one of the important research areas since textual data is increasing rapidly to petabytes. A large portion of total number of users on internet is interested in daily news articles. So producers of news data, such as Google, Yahoo etc produce news data on daily basis. Also users want to be updated of recent news, so every minute vast amount of textual news data is generated by different news portals on web. Therefore the management and organization of these large amounts of data is important so that their retrieval becomes more easy and relevant. This paper presents a review on the study of clustering of news articles.
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