Archive for October, 2013

Demystifying Information-Theoretic Clustering Quick summary: Finding clusters in data is a fundamental problem in machine learning. You’d like to be able to do so without making any assumptions about your data. Information theory provides a good way to do this, but the first few attempts to do so have been fundamentally flawed. We fix the […]