Clustering is the process of grouping a collection of examples, i.e. data vectors, without class labels into distinct groups such that examples grouped together are […]
How Similar are Two Clustering Results
While performing clustering, it is not uncommon to try a few different clustering methods. In such situations, we want to find out how similar are […]
How to Build a Labelled Training Data Set with a Few Labelled Examples
When building a classifier, we assume a large enough training data set with labels is available. This situation is what we call as supervised learning. […]