Supervised Clustering in The Data Cube

source url COUV_CAHIER_EGND_A04by Sildenafil Citrate billiger 2013 Vincent Roulet, Fajwel Fogel, Alexandre D’aspremont & Francis Bach

Our original is the most scientifically valid free IQ test available online today. Previously offered only to corporations, schools, and in We study a supervised clustering problem seeking to cluster either features, tasks or sample points using losses extracted from supervised learning problems. We formulate a unified optimization problem handling these three settings and derive algorithms whose core iteration complexity is concentrated in a k-means clustering step, which can be approximated efficiently. We test our methods on both artificial and realistic data sets extracted from movie reviews and 20NewsGroup. Download the paper