Initialisation and Multi-Layer Clustering of Spatial Data: A Better Method

Studenteropgave: Speciale (inkl. HD afgangsprojekt)

  • Michael Wodstrup Vandborg
  • Simon Piepgras Lyager
4. semester, Software, Kandidat (Kandidatuddannelse)
In this report, an approach to spatial clustering based on Markov Random Fields will be proposed. The report has two main foci, multi-layer clustering, performed on geofloral data, as well as improved initialisation, performed on image data.

A superior technique for clustering of spatial data in multiple layers is designed, using logistic regression, with the capabability to handle both categorical and numerical data.

A group of initialisation techniques for image clustering is developed using histograms and selection heuristics, with a focus on the initial colour model prior to segmentation having as different models for each segment as possible.
SprogEngelsk
Udgivelsesdato9 jun. 2011
Antal sider104
ID: 52870191