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SC²S Colloquium - June 6, 2018

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Date: May 30, 2018
Room: 02.07.023
Time: 15:00 - 15:15

Philipp Zetterer: Comparison of Different Cluster Analysis Algorithms Using Radio Measurement Data of Public Mobile Networks

This is an external Master's Thesis introduction advised by Michael Obersteiner and Paul Cristian Sarbu

This Master Thesis deals with Cluster analysis on mobile Network data. This data is normally used by mobile devices to communicate with the provider and their radio masts but can also be used to analyze the network. This data can have up to a few hundred variables which contain numbers as well as strings and missing values. Therefore selecting the feature space is one major task. Another one is to find configurations(of radio masts) that are used by clustering them and finding common values. In order to do that different approaches will be tested including K-Means, density based algorithms and others like Sparse Grids or statistical methods.

Keywords: Clustering, Mobile Networks, real-world data