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In this course you will learn:
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The key concepts of segmentation and clustering, such as standardization vs. localization, distance, and scaling
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The concepts of variable reduction and how to use principal components analysis (PCA) to prepare data for clustering models
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How to choose between hierarchical and k-centroid clustering models
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How to build and apply k-centroid clustering models
