title: Naive bayesian classifier - multiple decisions
body: <p>I need to know whether the Naive bayesian classifier
  can be used to generate multiple decisions. I couldn't
  find any examples which have any evidence in supporting
  multiple decisions. I'm new to this area. So, I'm bit
  confused.</p>
  
  <p>Actually I need to develop character recognition software.
  There I need to identify what the given character is.
  It seems the Bayesian classifier can be used to identify
  whether a character given is a particular character or not,
  but it cannot give any other suggestions.</p>
  
  <p>For example, if an image of '3' is given(we think it's '3'),
  if the system cannot identify it as '3'. If it seems like
  '2' for the system, system should return '2'.</p>
  
  <p>The idea that I have about Naive Bayesian classifier 
  is, once we train data we can ask
  the system whether the given character is a particular character
  or not. Eg. We draw an image of a particular number and ask
  the system whether it's '2' or not.</p>
  
  <p>I further noticed KNN(k nearest neighbor) gives multiple decisions.
  A character given to that, it decides a nearest compatible
  character given in training data.</p>
  
  <p>It's highly appreciated if someone could explain me whether
  the Naive Bayesian classifier can be used to make multiple
  decisions such as above.</p>