average categorize h i simple pattern recognition example

Last post I outlined and gave the code for average-categorize. This post a simple example. Recall the simple pattern recognition example, H-I-pat-rec.sw. Let's apply average-categorize to it.

Now, we have these patterns: 
x: letter: H
1       1
1       1
1       1
1 1 1 1 1
1       1
1       1
1       1

x: noisy: H
        1
1       1
1       1
1 1 1   1
1
1       1
1       1

x: noisy: H2
1       1
1
1   1 1 1
1 1 1 1 1
1 1     1
1       1
1 1 1   1

x: letter: I
1 1 1 1 1
    1
    1
    1
    1
    1
1 1 1 1 1

x: noisy: I
1 1 1 1
    1


    1
    1
1   1 1 1

x: noisy: I2
1 1     1
  1 1 1
    1
    1
    1 1 1
1 1 1 1
1 1 1 1 1

x: letter: O
1 1 1 1 1
1
1
1
1
1
1 1 1 1 1
Run this code: 
average_categorize(C,"pixels",0.65,"phi","pixels")
And now we have: 
x: phi: 1
1       2
2       1
2   0 0 2
2 2 2 1 2
2 0     1
2       2
2 0 0   2

x: phi: 2
1 1 1 1 1
    1
    1
    1
    1
    1
1 1 1 1 1

x: phi: 3
1 1     1
  1 1 1
    1
    1
    1 1 1
1 1 1 1
1 1 1 1 1

x: phi: 4
1 1 1 1 1
1
1
1
1
1
1 1 1 1 1
I think that works pretty well!

Webpage superposition example in the next post.

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updated: 19/12/2016
by Garry Morrison
email: garry -at- semantic-db.org