An Approach to Measure Topological Structure Similarities Between Complex Trajectories
Pages : 642-646
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Abstract
An enforced system is largely involved with managing the topological structure similarity between the complicated trajectories. The complicated flight consists of nodes and edges that represent Graph. We implement this application victimization Support Vector Machine (SVM) learning formula and K-Means (KM) clump. SVM and K-Means clump are used for each classification in addition as regression prophetical issues. We use artificial dataset to gauge nearest route from precursor purpose to successor purpose. We have a tendency to square measure outlined a dominant migrating path of topology. The k-means conjointly identify the complicated flight that propagated to easy flight. It conjointly determines the multiple structures of complicated trajectories.
Keywords: Topological Structure, Complex Trajectories, Synthetic Dataset, Similarity, Trajectory Clustering, Object recognition.