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Research Paper | Computer Science & Engineering | India | Volume 6 Issue 1, January 2017
Analysis of High Dimension Clustered Data using Visualization Technique
Abstract: In Data mining, One of the most significant and important technique is Cluster Analysis. The major stumbling block of cluster analysis is that it provides numerical feedback making it Onerous for users to understand, and most of the clustering algorithms are not pertinent for dealing with arbitrarily shaped data distributions of datasets. In Data mining, the visualization techniques have been proven to be more effectual, their accomplishment in cluster analysis is still a hurdle, especially in applications with immense and high dimensional datasets. In This paper I have introduced a distinct approach, Hypothesis Oriented Verification and Validation by Visualization, named HOV3, it gathers datasets on a hypothesis by visualization in 2D space. The HOV3 technique is goal oriented, it can reside the user to discover more cluster information from high dimensional data sets in a productive and organized way.
Keywords: High-dimensional data Visualization, Cluster analysis, Visual Data mining
Edition: Volume 6 Issue 1, January 2017,
Pages: 1048 - 1052
How to Cite this Article?
Abhimanyu Kumar, Archie Jain, "Analysis of High Dimension Clustered Data using Visualization Technique", International Journal of Science and Research (IJSR), Volume 6 Issue 1, January 2017, pp. 1048-1052, https://www.ijsr.net/get_abstract.php?paper_id=ART20164181
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