00976nam a22001937a 4500 0 0 0 1 RIU RIU 2024-04-25 Riphah International University 0 621.31 SAA 102186 2024-04-25 00:00:00 1 2024-04-25 TH 54617 54617 Riphah International University 621.31 SAA Muhammad Saad Ali (2969) Performance analysis of KNN-based brain disorder detection with different feature selection techniques and distance functions Islamabad (unpublished) 2023 xiv, 56 p. : ill. ; 30 cm. +CD A thesis submitted in the partial fulfillment of the requirements for the degree of Master of Science in Electrical Engineering to the Faculty of Engineering and Applied Sciences. Includes bibliographical references Thesis supervisor: Dr. Shaheryar Najam Thesis (MSEE)--Riphah International University, 2023 English Electrical Engineering Feature selection technique K-Nearest neighbors Brain disorder Machine learning Distance functions FEAS TH