k nn classifier

Replies

• 

  deepmali

  hi
  I am also doing something similar..I am using SVD based approach...If you have any info pls post it here.
• 

  sherly

  classification rate
  
  hi,
  I am working on image classification.
  I am using minimum distance classifier.
  Can anyone help me with the formula for correct classification rate.
  Thank you.
• 

  Predictor

  Re: classification rate
  
  

  sherly

  hi,
  I am working on image classification.
  I am using minimum distance classifier.
  Can anyone help me with the formula for correct classification rate.

  I think that what you are referring to is simply the accuracy of the classifier, which is defined as: the number of correct classifications divided by the total number of classifications.
  
  
  -Will Dwinnell
  Data Mining in MATLAB
• 

  Predictor

  sherly

  hi
  i am working in classification of texture images.
  can anyone help me with a code for k nearest neighbour classifier and also help me to create a training dataset with labelled categories.

  k-nearest neighbors is very simple:
  
  1. Calculate the distance from the current case to all historical cases.
  2. Select the k historical cases with the least distance from the current case.
  3. Merge those k cases, typically by averaging for numeric estimation problems or by voting for classification problems.
  
  
  -Will Dwinnell
  Data Mining in MATLAB