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Clustering Data with R

Track :

Programming

Lessons no : 4

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What will you learn in this course?
  • Apply KMeans clustering techniques in R to segment data effectively for analysis and visualization
  • Implement data preprocessing and feature scaling to improve clustering accuracy in R
  • Interpret clustering results using R graphical tools to identify meaningful data patterns and groupings
  • Evaluate clustering performance metrics in R to optimize model parameters and validate data segmentation

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Lessons | 4


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Nikabou Andy ABODJI 

Not bad as course but have to be more introductive for beginners.
2025-08-18

Kodjo Combétey 

Very important .It was intersting
2025-08-13

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Clustering in R refers to the assimilation of the same kind of data in groups or clusters to distinguish one group from the others(gathering of the same type of data). This can be represented in graphical format through R. We use the KMeans model in this process .