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DOI: 10.14569/IJACSA.2017.080348
PDF

Appraising Research Direction & Effectiveness of Existing Clustering Algorithm for Medical Data

Author 1: Sudha V
Author 2: Girijamma H A

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 3, 2017.

  • Abstract and Keywords
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Abstract: The applicability and effectiveness of clustering algorithms had unquestioningly benefitted solving various sectors of real-time problems. However, with the changing time, there is a significant change in forms of the data. This paper briefs about the different taxonomies of the clustering algorithm and highlights the frequently used techniques to understand the research popularity. We also discuss the existing direction of the research work and find that still there is a significant amount of open issues when it comes to clustering medical data. We find that existing techniques are quite symptomatic in nature on local problems in clustering while problems associated with complex medical data are yet to be explored by the researchers. We believe that this manuscript will give a good summary of the effectiveness of existing clustering techniques towards medical data as a contribution.

Keywords: Medical Data; Clustering Algorithm; k-Means Clustering; Fuzzy; Classification

Sudha V and Girijamma H A, “Appraising Research Direction & Effectiveness of Existing Clustering Algorithm for Medical Data” International Journal of Advanced Computer Science and Applications(IJACSA), 8(3), 2017. http://dx.doi.org/10.14569/IJACSA.2017.080348

@article{V2017,
title = {Appraising Research Direction & Effectiveness of Existing Clustering Algorithm for Medical Data},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.080348},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080348},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {3},
author = {Sudha V and Girijamma H A}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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