alexa Abstract | Clustering Uncertain Data Using Voronoi Diagrams and R-Tree Index
ISSN ONLINE(2320-9801) PRINT (2320-9798)

International Journal of Innovative Research in Computer and Communication Engineering
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article Open Access

Abstract

Clustering uncertain objects has been a topic for research. In this paper the process of clustering uncertain objects and the usage of PDFs (Probability Density Functions) to describe their locations is considered. UKmeans algorithm is not efficient in handling uncertain objects. This paper demonstrates it. The reason for its inefficiency can be traced back to the fact that it computes EDs (Expected Distances) between cluster representatives and objects. It performs numerical integrations for computing EDs which are expensive. In this paper the concept of Voronoi diagrams is proposed to reduce number of ED calculations. When compared with previous bounding-box-based technique, this is more effective and analytically proven. Furthermore this paper proposes building an R-tree index in order to organize uncertain objects. This can effectively reduce overheads pertaining to pruning. The experiments revealed that the techniques used in this paper are additive. Moreover, when used in combination they outperformed earlier methods.

To read the full article Peer-reviewed Article PDF image | Peer-reviewed Full Article image

Author(s): S.Thirunavukkarasu, Dr.K.P.Kaliyamurthie

Share This Page

Additional Info

Loading
Loading Please wait..
 
 
Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords