An Efficient Clustering Technique for Message Passing Between Data Points using Affinity Propagation
Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 1
Abstract
A wide range of clustering algorithms is available in literature and still an open area for researcher’s k-means algorithm is one of the basic and most simple partitioning clustering technique is given by Macqueen in 1967. A new clustering algorithm used in this paper is affinity propagation. The number of cluster k has been supplied by the user and the e ffinity propagation found clusters with much lower error than other methods, and it did so in less than one-hundredth the amount of time between data point. In this paper we make analysis on cluster algorithm k-means, e fficient k-means, and affinity propagation with colon dataset. And the result of affinity propagation shows much lower error when compare with other algorithm and the average accuracy is ood.
Authors and Affiliations
D. NAPOLEON , G. BASKAR , S. PAVALAKODI
Keywords
Related Articles
- EP ID EP91907
- DOI -
- Views 132
- Downloads 0
e-Governance Applications for citizens - Issues and Framework
To bridge the gap between government and citizens, to provide effective and efficient services, to increase productivity and to extend other benefits to its citizens, the governments of various countries introduced e-Gov...
The proposed quantum computational basis of deep ecology: its implications for agriculture
Quantum computation has been proposed to generate consciousness. The terms atman field and consciousness vector have also been used to describe the properties of consciousness. It has also been proposed that the human ac...
Performance Estimation on Opportunistic Routing Protocol based on Reliability Analysis
This paper discuss various opportunistic routing algorithm which is based on broadcast nature of opportunistic network and also provide novel solution of routing which have less data loss. This research work proposed bro...
Demographic Data Assessment using Novel 3DCCOM Spatial Hierarchical Clustering: A Case Study of Sonipat Block, Haryana
Cluster detection is a tool employed by GIS scientists who specialize in the field of spatial analysis. This study employed a combination of GIS, RS and a novel 3DCCOM spatial data clustering algorithm to assess the rura...
A Fuzzy Integrated Ontology Model to Manage Uncertainty in Semantic Web: The FIOM
Semantic web, also known as next generation web, aims to provide context based information and services to the user. Although, ontologies play key role in implementation and exploitation of semantic web, however these fa...