Fast Data Analysis Technique by Compact Clustering

Authors

  • Sunil Kumar Kashyap
  • Swati Jain

DOI:

https://doi.org/10.37591/joadms.v7i2.2512

Abstract

In this paper, a new clustering theory is established under the context to analyze the data. Data analysis is a challenging task. The proposed method transforms it into easier. The classical clustering method defines over the probability to design the proposed algorithm in this paper. The data structure sets as the dynamic structure for mapping the optimized and compact analysis.

Keywords: Data, Probability, Cluster, Data, Algorithm.

Cite this Article: Sunil Kumar Kashyap, Swati Jain. Fast Data Analysis Technique by Compact Clustering. Journal of Advanced Database Management & Systems. 2020; 7(2): 19–23p.

Downloads

Published

2020-08-11

Issue

Vol. 7 No. 2 (2020)

Section

Research Articles

License

Declaration and Copyright Transfer Form

(to be completed by authors)

I/ We, the undersigned author(s) of the submitted manuscript, hereby declare, that the above manuscript which is submitted for publication in the STM Journals(s), is not published already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is not under consideration of publication elsewhere.

  • I/We will not withdraw the manuscript after 1 week of submission as I have read the Author Guidelines and will adhere to the guidelines.
  • I/We Author(s ) have niether given nor will give this manuscript elsewhere for publishing after submitting in STM Journal(s).
  • I/ We have read the original version of the manuscript and am/ are responsible for the thought contents embodied in it. The work dealt in the manuscript is my/ our own, and my/ our individual contribution to this work is significant enough to qualify for authorship.
  •  I/We also agree to the authorship of the article in the following order:

Author’s name                                    

 

1. ________________

2. ________________

3. ________________

4. ________________

 

We  Author(s) tick this box and would request you to consider it as our signature as we agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal.