Along with the rapid and fast development of the Internet, there is a prodigious increase in the use of data and information. The aggressive growth of data has led us to an information explosion era, where the data cannot be easily maintained. Also, there is an increase in the use of electronic data and the information is stored in electronic format in the form of text documents such as news articles, books, digital library and so on. Clustering of the text documents has become an important technology over the internet. Text Clustering is mainly described as the grouping of the similar documents a large collection of unstructured documents. Text document clustering is the most widely used method for generalizing a large amount of information. In this paper, we tried to compare some existing text document clustering techniques on the basis of few criteria like time, accuracy and performance.