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Research Article

JCR. 2020; 7(10): 2024-2030


Dr. C. Nalini.

This paper focused on data analysis in Matlab by using mostly Statistics and Machine Learning Toolbox. We apply classification and clustering on the data from IT Corporation. Our aspire was to decide whether Matlab technology is suitable to data analysis. The powerful side of this tool is it provides the access to a library of general data handling techniques, graphical’s representation, and statistical tools that can be visualized in very supple ways using plotting and imaging instructions. Data training with Matlab was complex and lengthy because a not have of toolboxes. We apply the clustering algorithm fuzzy k-means and classification decision trees. Matlab doesn´t provide any function for revolving the clustering with definite data. We necessary to convert data to high-quality form and to decide the starting number of clusters.

Key words: Data mining, MATLAB, toolbox.

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