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.

name of conference

  • 2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton)

published proceedings

  • 2016 54TH ANNUAL ALLERTON CONFERENCE ON COMMUNICATION, CONTROL, AND COMPUTING (ALLERTON)

author list (cited authors)

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

citation count

  • 4

complete list of authors

  • Chan, Chung||Al-Bashabsheh, Ali||Zhou, Qiaoqiao||Liu, Tie

publication date

  • January 2016