title: Feature selection & significant features in kNN
body: <p>I am developing a recommendation engine with the help of kNN. Data, though, is sparse, have around 1500 samples and around 200 features. I have an ordinal target having values 1 or 0.</p>
  
  <p>What would be the techniques to do feature selection for it? I am assuming that if i choose Random forest for feature selection then the selected features may be different that what kNN assume important features are.</p>
  
  <p>Also, is there any restriction on the number of features containing i have so less number of samples?</p>