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)