Initialisation and Multi-Layer Clustering of Spatial Data: A Better Method
Translated title
Term
4. term
Education
Publication year
2011
Submitted on
2011-06-09
Pages
104
Abstract
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.
Keywords
Documents