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density-based-clustering

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We proposes a novel and robust 3D object segmentation method, the Gaussian Density Model (GDM) algorithm. The algorithm works with point clouds scanned in the urban environment using the density metrics, based on existing quantity of features in the neighborhood. The LiDAR Velodyne 64E was used to scan urban environment.

  • Updated Oct 8, 2019
  • Python

Can heart attacks be predicted? This project attempts to answer that using machine learning algorithms? This project first implements 3 unsupervised learning algorithms (K-Means, density based clustering, and hierarchical clustering) to group the studied population into observable clusters. Then 3 supervised learning algorithms (SVM, Decision Tr…

  • Updated Mar 22, 2021
  • Jupyter Notebook

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