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Preeti Jain

Work place: R. N. Modi Engineering College, Kota, India

E-mail: jain.preeti2909@gmail.com

Website:

Research Interests: Data Mining, Data Compression, Data Structures and Algorithms

Biography

Preeti Jain completed her B.Tech in Information Technology with optional subject computer network from Rajasthan Technical University, Kota. She is pursuing her M.Tech in Computer Science and completed three semesters with aggregate Percentage 68 from Rajasthan Technical University, Kota. Before her M.Tech, she was working as Assistant Professor since April 2012 and has 3.9 years Academic Experience. Some of her eminent publications include Similarity Measures used in Data Mining, 29th N C (ETICE- Feb. 2015) and Balancing privacy and usability of data in cloud (RTISSMT - March 2015). Her M.Tech dissertation topic is “Optimizing K-Means Clustering Algorithm”, which she will be submitting shortly.

Author Articles
Accelerated K-means Clustering Algorithm

By Preeti Jain Bala Buksh

DOI: https://doi.org/10.5815/ijitcs.2016.10.05, Pub. Date: 8 Oct. 2016

Optimizing K-means is still an active area of research for purpose of clustering. Recent developments in Cloud Computing have resulted in emergence of Big Data Analytics. There is a fresh need of simple, fast yet accurate algorithm for clustering huge amount of data. This paper proposes optimization of K-means through reduction of the points which are considered for re-clustering in each iteration. The work is generalization of earlier work by Poteras et al who proposed this idea. The suggested scheme has an improved average runtime. The cost per iteration reduces as number of iterations grow which makes the proposal very scalable.

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