classification, clustering

Any idea how to do this ?
...Choose one problem:

  • classification
  • clustering

Select one dataset from the repository
e.g. UCI machine learning

Test 3 selected approaches during classification, e.g.

  • neural networks
  • decision trees
  • SVM

During clustering, test 3 selected algorithms, e.g .:

  • hierarchical e.g. descending
  • hierarchical e.g. ascending
  • k average

Then choose the best approach and implement in a web application (R and Shiny)

What have you tried so far? what is your specific problem?, we are more inclined towards helping you with specific coding problems rather than doing your work for you.

Could you please turn this into a self-contained REPRoducible EXample (reprex)? A reprex makes it much easier for others to understand your issue and figure out how to help.

If you've never heard of a reprex before, you might want to start by reading this FAQ:

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