36. data mining techniques
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The document discusses data mining techniques, focusing on principal component analysis (PCA) and hierarchical clustering. It introduces algorithms for clustering multivariate data, along with methods to convert such data into networks and visualize them. The program aims to equip participants with skills for managing big data.
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36. data mining techniques
- 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!!