Clustering, an extremely important technique in Data Mining is an automatic learning
technique aimed at grouping a set of objects into subsets or clusters. The goal is to create …

Document clustering is a gathering of textual content documents into groups or clusters. The
main aim is to cluster the documents, which are internally logical but considerably different …

There is a tremendous proliferation in the amount of information available on the largest
shared information source, the World Wide Web. Fast and high-quality document clustering …

The world wide web also known as WWW is the source for the largest shared information. To
effectively organize, summarize and navigate through the information on the web in a fast …

As the internet is exploding with huge volume of text documents, the need of grouping
similar documents together for versatile applications have hold the attention of researchers …

Document clustering is the process of segmenting a particular collection of texts into
subgroups including content based similar ones. The purpose of document clustering is to …

Document clustering is automatic organization of documents into clusters so that documents
within a cluster have high similarity in comparison to documents in other clusters. It has been …

In this paper, we propose a novel clustering algorithm which uses a weighted combination of
several criteria as its fitness function. We demonstrate the suitability of the new method in the …

The large amount of text information on the Internet and in modern applications makes
dealing with this volume of information complicated. The text clustering technique is an …

The text clustering technique is an appropriate method used to partition a huge amount of
text documents into groups. The documents size affects the text clustering by decreasing its …