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  "Title": "Tools for Fast Computing and Visualizing Euclidean Minimum\nSpanning Trees",
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  "Description": "Fast and easy computation of Euclidean Minimum Spanning\nTrees (EMST) from data, relying on the R API for 'mlpack' - the\nC++ Machine Learning Library (Curtin et. al., 2013). 'emstreeR'\nuses the Dual-Tree Boruvka (March, Ram, Gray, 2010,\n<doi:10.1145/1835804.1835882>), which is theoretically and\nempirically the fastest algorithm for computing an EMST. This\npackage also provides functions and an S3 method for readily\nvisualizing Minimum Spanning Trees (MST) using either the style\nof the 'base', 'scatterplot3d', or 'ggplot2' libraries; and\nfunctions to export the MST output to shapefiles.",
  "License": "BSD_3_clause + file LICENSE",
  "Encoding": "UTF-8",
  "BugReports": "https://github.com/allanvc/emstreeR/issues/",
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      "date": "2018-12-03"
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      "title": "Euclidean Minimum Spanning Tree",
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    },
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