Gregory Vert

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Current work in modeling has focused on fuzziness as it applies to single entities. An application of fuzzy theory may be made to managing data sets and collections, thus treating the data sets as collection of fuzzy objects. The application of fuzzy theory to management of sets creates has not been fully explored. In the area of Geospatial Information(More)
K-means is a popular clustering algorithm that requires a huge initial set to start the clustering. K-means is an unsupervised clustering method which does not guarantee convergence. Numerous improvements to K-means have been done to make its performance better. Expectation Maximization is a statistical technique for maximum likelihood estimation using(More)
Spatial data has become more important everyday in decision-making and planning processes. As such, it needs to be stored and retrieved in information systems that often require high performance due to the voluminous nature of spatial data. Typically this is not much of a problem unless one considers the effect of spatial extent as a function of time in(More)
Nucleotide sequencing of genomic data is an important step towards building understanding of gene expression. Current limitations in sequencing limit the number of base pairs that can be processed to only several hundred at a time. Consequently, these sequenced substrings need to be assembled into the overall genome. However, the existence of insertions,(More)