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An Analysis of Hierarchical Clustering Algorithms for Hotspot Detection in Geographical Request Maps
KTH, School of Computer Science and Communication (CSC).
KTH, School of Computer Science and Communication (CSC).
2015 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

The purpose of this thesis was to investigate the suitability of using different hierarchical clustering algorithms for locating hotspots of HTTP-requests in geographical maps. To do so, four different maps were modeled with pre-set hotspots. Nine algorithms were evaluated with a cost value to how well they could approximate the locations of the hotspots.  Four of the algorithms were found to perform better than the other ones overall. Although the results does show potential in using hierarchical clustering algorithms, the low number of models makes it hard to determine the possibility for arbitrary maps of HTTP-requests.

Place, publisher, year, edition, pages
2015. , 22 p.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-166420OAI: oai:DiVA.org:kth-166420DiVA: diva2:810990
Subject / course
Computer Science
Educational program
Master of Science in Engineering - Computer Science and Technology
Supervisors
Examiners
Available from: 2015-05-28 Created: 2015-05-09 Last updated: 2015-05-28Bibliographically approved

Open Access in DiVA

Final_Report_PKidane_ABonds(1444 kB)130 downloads
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf