Abstract Text Document Clustering aids in reorganizing the large collections of documents
into a smaller number of manageable clusters. While several clustering methods and the …

The increasing number of digitized texts presently available notably on the Web has
developed an acute need in text mining techniques. Clustering systems are used more and …

In most document clustering systems documents are represented as normalized bags of
words and clustering is done maximizing cosine similarity between documents in the same …

Document clustering plays major role in the fast developing information explosion. It is
considered as tool for performing information based operations. Document clustering …

Text documents clustering can be challenging due to complex linguistics properties of the
text documents. Most of clustering techniques are based on traditional bag of words to …

Ant-based text clustering is a promising technique that has attracted great research
attention. This paper attempts to improve the standard ant-based text-clustering algorithm in …

The volume of digitized text documents on the web have been increasing rapidly. As there is
huge collection of data on the web there is a need for grouping (clustering) the documents …

Document clustering is the application of cluster analysis to textual documents. It is
commonly used technique in data mining, information retrieval, knowledge discovery from …

With the ceaseless flourishing of the internet, the number of text documents in electronic
form is increasing exorbitantly. Thus document clustering which organizes such large …

With the rapid development of web content, retrieving relevant information is difficult task.
The efficient clustering algorithms are needed to improve the results of the retrieval …