Segment and analyze your data!

Data Segmentation Using K-Means and SAP HANA PAL

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128 pages, E-book formats: EPUB, MOBI, PDF, online
ISBN 978-1-4932-2003-8
Segment data for cluster analysis with the SAP HANA Predictive Analysis Library (PAL)! In this E-Bite, you’ll learn to use the k-means algorithm to group data, step-by-step. Start by selecting your variables—two, three, four, or more—visualizing the grouping with 2D and 3D charts, and creating tables. Then execute the k-means function to cluster data and understand how to analyze and refine the results. Use machine learning to extract meaning from your business data!
  • Use machine learning for data segmentation with SAP HANA PAL k-means
  • Conduct cluster analysis on data with on two and three variables
  • Group and analyze complex data sets with four or more variables

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Fernando Roque is the managing director of Quantum Statistics and specializes in planning statistics for activity and cost optimization in logistics, quality control, and customer service.

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