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36. data mining techniques

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In the present era, almost every branch of science and technology has become data intensive requiring algorithms for data analysis and techniques for data visualizations. Under this program we will introduce clustering algorithms applicable to multivariate data such as principal component analysis (PCA) and hierarchical clustering, techniques of how to convert multivariate data into networks, network visualization and network clustering. So get modern skills for handling Big Data.

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36. data mining techniques

  1. 1. Data Mining Techniques Principal Component Analysis (PCA) Hierarchical Clustering Network/Graph Analysis Under this program we will introduce clustering algorithms applicable to multivariate data such as principal component analysis (PCA) and hierarchical clustering, techniques of how to convert multivariate data into networks, network visualization and network clustering. Learn skills for handling Big Data!!

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