K-NN Interactive Demo

This webpage provides an interactive demo of the K-NN (K-Nearest Neighbors) algorithm for teaching purposes.

1) Enter some training data in the textbox below. The first line is a list of attribute names. Then, each following line is an instance consisting of numerical or categorical values, separated by single spaces:

2) Choose a value of K using the slider:

3) Write an instance to classify, where the attribute value to guess is replaced by the value "?":

Output:

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Want to try a fast implementation of K-NN in Java ? Check the open-source SPMF data mining software
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