234 Pages
English

Coping with new Challenges in Clustering and Biomedical Imaging [Elektronische Ressource] / Annahita Oswald. Betreuer: Christian Böhm

-

Gain access to the library to view online
Learn more

Description

Coping with new Challenges inClustering and BiomedicalImagingAnnahita OswaldMunchen 2011Coping with new Challenges inClustering and BiomedicalImagingAnnahita OswaldDissertationan der Fakult at fur Mathematik, Informatik undStatistikder Ludwig{Maximilians{Universit atMunc henvorgelegt vonAnnahita Oswaldaus Munc henMunc hen, den 23.05.2011Erstgutachter: Prof. Dr. Christian B ohmZweitgutachter: Prof. Dr. Christian BaumgartnerTag der mundlic hen Prufung: 21.07.2011ContentsAcknowledgments ixAbstract xiZusammenfassung xiiiI Preliminaries 11 Introduction 31.1 Open Challenges in Clustering and Biomedical Imaging . . . . 91.1.1 Clustering . . . . . . . . . . . . . . . . . . . . . . . . . 91.1.2 Biomedical Imaging . . . . . . . . . . . . . . . . . . . . 111.2 Thesis Overview and Contributions . . . . . . . . . . . . . . . 122 Survey 152.1 Clustering . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 162.1.1 Partitioning Clustering . . . . . . . . . . . . . . . . . . 172.1.2 Hierarchical Clustering . . . . . . . . . . . . . . . . . . 202.1.3 Density-based C . . . . . . . . . . . . . . . . . 232.2 Validation of Clustering Results . . . . . . . . . . . . . . . . . 252.3 Classi cation . . . . . . . . . . . . . . . . . . . . . . . . . . . 272.3.1 Support Vector Machines (SVM) . . . . . . . . . . . . 272.3.2 K-Nearest Neighbor Classi er (K-NN) . . . . . . . . . 28vi CONTENTS2.3.3 Naive Bayes (NB) . . . . . . . . . . . . . . . . . . . .

Subjects

Informations

Published by
Published 01 January 2011
Reads 0
Language English
Document size 5 MB