The K-Means Clustering algorithm provides a way to group together similar data points. This similarity can be measured using any metric but Euclidean Distance is most commonly used.
The algorithm works roughly as follows:
The above lets you test out a K-Means Classifier. Click to add new data points and hit 'Cluster' to run the classifier.