EXTENSION OF THE FUZZY C MEANS CLUSTERING ALGORITHM TO FIT WITH THE COMPOSITE GRAPH MODEL FOR WEB DOCUMENT REPRESENTATION

Abstract

Clustering techniques are mostly unsupervised methods that can be used to organize data into groups based on similarities among the individual data items. Fuzzy c-means (FCM) clustering is one of well known unsupervised clustering techniques, which can also be used for unsupervised web document clustering. In this chapter we will introduce a modified method of clustering where the data to be clustered will be represented by graphs instead of vectors or other models. Specifically, we will extend the classical FCM clustering algorithm to work with graphs that represent web documents (Phukon, K. K. (2012), Zadeh, L. A. (1965). Dunn, J. C.(1974)). We wish to use graphs because they can allow us to retain information which is often discarded in simpler models.

Authors and Affiliations

Kaushik K. Phukon, MSc, Hemanta K. Baruah, Dr.

Keywords

Related Articles

CAN INFOGRAPHICS FACILITATE THE LEARNING OF INDIVIDUALS WITH MATHEMATICAL LEARNING DIFFICULTIES?

Visualization of data has recently gained great importance in education and use of infographics is regarded as an important tool in teaching mathematics since it presents information in a clear and abstract way. Teref...

CREATION AND EXPLOITATION OF POSITIVE IMAGE OF SPORT IN SOCIAL AWARENESS

А positive image of sport working on purpose of its institutional reproduction is being created based on the analysis carried out by mass media. The attention is paid to the fact that the society is not properly info...

THE TEACHER’S ROLE AND PROFESSIONAL DEVELOPMENT

Te text addresses the theme of teachers’ professional development. Te role of a teacher is defned by cultural and social events and the environment, and they influence the differences that occur in the concept of teache...

CLASSROOM MANAGEMENT

This paper is aiming to discover the paths that enable teachers to manage their work with students in the classroom. To be an effcient teacher means to know with what and how to motivate students to learn. Teacher as...

PRACTICAL STRATEGIES FOR ENHANCING INTERDISCIPLINARY COLLABORATION IN NEUROEDUCATIONAL STUDIES

The need to overcome artificial obstructions and limitations in our scientific understanding of the complexity of educational issues is the major driver of interdisciplinary collaboration in the field of Neuroeducatio...

Download PDF file
  • EP ID EP34314
  • DOI -
  • Views 350
  • Downloads 0

How To Cite

Kaushik K. Phukon, MSc, Hemanta K. Baruah, Dr. (2013). EXTENSION OF THE FUZZY C MEANS CLUSTERING ALGORITHM TO FIT WITH THE COMPOSITE GRAPH MODEL FOR WEB DOCUMENT REPRESENTATION. International Journal of Cognitive Research in Science, Engineering and Education (IJCRSEE), 1(2), -. https://europub.co.uk/articles/-A-34314