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Compare Algorithm Outputs to Reveal Underlying DataSet Structure

Problem: Data has noise. Data sets must be cleansed, normalized and curated. But you never really can tell for sure which algorithms to apply unless you compare results.

Steps:

  1. Plan to generate different visualizations  of your data set,
  2. Plan to create and various transforms on your data set
  3. Run through a number of typical algorithms on each view of your dataset.

Purpose:  Clarify which data transformations will reveal the structure of the dataset that underlies your problem.

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