Duality between Feature Selection and Data Clustering Conference Paper uri icon

abstract

  • © 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.

author list (cited authors)

  • Chan, C., Al-Bashabshe, A., Zhou, Q., & Liu, T.

publication date

  • January 1, 2016 11:11 AM

publisher