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Performance analysis of KNN-based brain disorder detection with different feature selection techniques and distance functions

By:

Muhammad Saad Ali (2969)

Material type: Text

TextPublication details: Islamabad (unpublished) 2023Description: xiv, 56 p. : ill. ; 30 cm. +CDSubject(s):

Electrical Engineering -- Feature selection technique -- K-Nearest neighbors -- Brain disorder -- Machine learning -- Distance functions -- FEAS

DDC classification:

621.31 SAA

Dissertation note: Thesis (MSEE)--Riphah International University, 2023

List(s) this item appears in: FEAS & DBS Thesis I-14 Campus

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Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Thesis	Main Campus	621.31 SAA (Browse shelf(Opens below))	1	NOT for LOAN		102186

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

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