Titlebook: Advances in Intelligent Signal Processing and Data Mining; Theory and Applicati Petia Georgieva,Lyudmila Mihaylova,Lakhmi C Jain Book 2013

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Constraining Shape and Size in Clusteringding is introduced, and this method is compared with a traditional agglomerative hierarchical, average link clustering algorithm using several internal and external cluster validation indices. A benchmark study compares the cluster performance of both approaches using a wide variety of real-world and artificial benchmark data sets.

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Monte Carlo-Based Bayesian Group Object Tracking and Causal Reasoning,t agents based exclusively on their observed trajectories.We use these as building blocks for developing a unified tracking and behavioral reasoning paradigm. Both synthetic and realistic examples are provided for demonstrating the derived concepts.

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