Duality between Feature Selection and Data Clustering
Additional Document Info
2016 IEEE. The feature-selection problem is formulated from an information-theoretic perspective. We show that the problem can be efficiently solved by a recently proposed info-clustering paradigm. This reveals a fundamental duality between feature selection and data clustering, which is a consequence of a more general duality between the principal partition and the principal lattice of partitions in combinatorial optimization.
name of conference
2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton)