A Brief Survey On Document Clustering Techniques Using MATLAB

Abstract

Document clustering is a more specific technique for unsupervised document organization, it is generally considered to be a centralized process. Clustering methods can be used to automatically group the retrieved documents into a list of meaningful categories. This paper gives an overview of some of the mostly used document clustering techniques and introduces the matlab tool which  provides us many functions that helps in the clustering of the documents. In particular we concentrate on the most commonly used clustering techniques Agglomerative hierarchical clustering and K-means that are commonly used for document clustering and related matlab functions available in the matlab toolbox.

Authors and Affiliations

Rachitha Sony. K rotha , Suneetha Merugula

Keywords

Related Articles

Improved Design of Low Power TPG Using LP-LFSR

This paper presents a novel test pattern generator which is more suitable for built in self test (BIST) structures used for testing of VLSI circuits. The purpose of the BIST is to reduce power dissipation without affecti...

Intrusion Detection System Using Fuzzy Inference System

Network security consists of the provisions and policies adopted by a network administrator to prevent and monitor unauthorized access or denial of a computer network and network accessible resources. Intrusions are the...

Effect of Couple Stress Fluid on Peristaltic Motion in a Uniform and Non-Uniform Annulus

Peristalsis is now well known to physiologists to be one of the major mechanisms for fluid transport in many biological systems. In particular, a mechanism may be involved in swallowing food through the esophagus, in uri...

An Automatic Detection and Assessment of Diabetic Macular Edema A long With Fovea Detection from Color Retinal Images

Diabetic macular edema (DME) is an advanced symptom of diabetic retinopathy which lead to vision loss. Here a methodology comprises of two stages is proposed. First stage is detecting of DME and the next stage is assessi...

Detection Of Brain Tumor Using Kernel Induced Possiblistic C-Means Clustering

Brain tumor is a major health problem throughout the world. Magnetic resonance imaging (MRI) scan can be used to produce image of any part of the body and it provides an efficient and fast way for diagnosis of the brain...

Download PDF file
  • EP ID EP88017
  • DOI -
  • Views 126
  • Downloads 0

How To Cite

Rachitha Sony. K rotha, Suneetha Merugula (2013). A Brief Survey On Document Clustering Techniques Using MATLAB. International Journal of Computer & organization Trends(IJCOT), 3(1), 1-6. https://europub.co.uk/articles/-A-88017