Competitive learning refers to forms of unsupervised learning where nodes compete in a winner-takes-all fashion for inputs. Kohonen networks are a classic example and k-means can be seen as a simple form of competative learning. Competitive learning is used in compression algorithms using vector quantization, which can be thought of as a little like k-means with very large k.