Browse files

Updated README to reflect public opening of project.

  • Loading branch information...
1 parent 0845c40 commit eacc861d939dbd0522b5bf54242519f5e8f3553d @jweaver committed Jun 10, 2012
Showing with 6 additions and 0 deletions.
  1. +6 −0 README
@@ -5,9 +5,15 @@ This project uses the K-Nearest neighbor classifier and Naive Bayes Classifier f
- Each number on a line represents the pixels greyscale count, from left to right, pixel 1 through pixel 784 (28x28 greyscale images).
- The example "class" (digit) is the last digit in the line.
+The project was basically hacked together in a weekend. The source is messy.
* Approach
For K-Nearest neighbor implementation, a euclidean distance formula is used to determine the 'distance' between two images. The Training data is fed into the system, and using this formula we can determine how close one image is to another. Sorting, Ranking and Voting take place after making the right comparisons with the test data to the training data.
For Bayes, a Naive Bayes is used.
+* Upcoming / Wanted
+1. Single-hidden-layer neural network implementation.
+2. Shape matching using OpenCV (Java interfaces to OpenCV library do not yet exist)

0 comments on commit eacc861

Please sign in to comment.