International Journal of Application or Innovation in Engineering & Management
An Inspiration for Recent Innovation & Research….
ISSN 2319 – 4847
www.ijaiem.org
Call for Paper, Published Articles, Indexing Infromation
Title: |
Analysis and Optimization of Data Classification using K-Means Clustering and Affinity Propagation Technique
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Author Name: |
Srinivas Vadali, G.V.S.R. Deekshitulu, J.V.R. Murthy |
Abstract: |
Abstract
Twitter provides an enormous platform to perform analysis on data consisting of events, trends, personalities. It enables to
determine the inclination, likes of the people in real time independent of size. There several techniques to retrieve the data and
the most efficient technique to retrieve the data is the clustering technique. There are many approaches in clustering to group
and analyze the data. This paper provides an overview on various algorithms and their effectiveness in determining the
trending pulses efficiently. Once the data are clustered, they could be classified based on the topics for real time analysis on the
huge collection of data set which is very dynamic. In this paper classification of data is performed and analyzed to determine
the flaws. The classification is again performed on the same dataset using an optimized technique and analysis is performed on
the clustering of the data.
Keywords: K-means Clustering, Affinity Propagation Technique, Centroid, Euclidian Distance |
Cite this article: |
Srinivas Vadali, G.V.S.R. Deekshitulu, J.V.R. Murthy , "
Analysis and Optimization of Data Classification using K-Means Clustering and Affinity Propagation Technique " , International Journal of Application or Innovation in Engineering & Management (IJAIEM),
Volume 8, Issue 4, April 2019 , pp.
020-028 , ISSN 2319 - 4847.
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