Kaggle Digit Recognizer: A K-means attempt by Michael Needham.
From the post:
Over the past couple of months Jen and I have been playing around with the Kaggle Digit Recognizer problem – a ‘competition’ created to introduce people to Machine Learning.
The goal in this competition is to take an image of a handwritten single digit, and determine what that digit is.
You are given an input file which contains multiple rows each containing 784 pixel values representing a 28×28 pixel image as well as a label indicating which number that image actually represents.
One of the algorithms that we tried out for this problem was a variation on the k-means clustering one whereby we took the values at each pixel location for each of the labels and came up with an average value for each pixel.
The results of machine learning are likely to be direct or indirect input into your topic maps.
Useful evaluation of that input will depend your understanding of machine learning.