1. SEMI-SUPERVISED CLUSTERING FOR HIGH-DIMENSIONAL AND SPARSE FEATURES Open Access Author: Yan, Su Title: SEMI-SUPERVISED CLUSTERING FOR HIGH-DIMENSIONAL AND SPARSE FEATURES Graduate Program: Information Sciences and Technology Keywords: dimension reductionclusteringsemi-supervised learningdocument analysis File: Download SuYan-Dissertation.pdf Committee Members: Dongwon Lee, Dissertation Advisor/Co-AdvisorDongwon Lee, Committee Chair/Co-ChairC Lee Giles, Committee Chair/Co-ChairJesse Louis Barlow, Committee MemberTracy Mullen, Committee Member