A Survey on Optimization Approaches to Text Document Clustering

A Survey on optimization approaches to text document clustering

Text Document Clustering is one of the fastest growing research areas because of availability of huge amount of information in an electronic form. There are several number of techniques launched for clustering documents in such a way that documents within a cluster have high intra-similarity and low inter-similarity to other clusters. Many document clustering algorithms provide localized search...

Text Document Clustering based on Phrase

Affinity propagation (AP) was recently introduced as an unsupervised learning algorithm for exemplar based clustering. In this paper novel text document clustering algorithm has been developed based on vector space model, phrases and affinity propagation clustering algorithm. Proposed algorithm can be called Phrase affinity clustering (PAC). PAC first finds the phrase by ukkonen suffix tree con...

A Survey on Text Based Clustering

Clustering is the main technique for data analysis and it deals with the organisation of a set of objects in a multidimensional space into cohesive groups called clusters. Every cluster contains closely related objects and has very dissimilar objects in other clusters. Cluster analysis aims at discovering the objects with same behaviour in a collection. Thus, if an object satisfies a rule, the ...

A Survey on Text Mining in Clustering

Text mining has important applications in the area of data mining and information retrieval. One of the important tasks in text mining is document clustering. Many existing document clustering techniques use the bag-of-words model to represent the content of a document. It is only effective for grouping related documents when these documents share a large proportion of lexically equivalent term...

Investigating Approaches to Enhance Document Clustering