{
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  "Title": "Cluster Analysis via Nonparametric Density Estimation",
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  "Date": "2022-12-01",
  "Authors@R": "c(\nperson(\"Menardi\", \"Giovanna\", role = c(\"aut\", \"cre\"), email = \"menardi@stat.unipd.it\"),\nperson(\"Azzalini\", \"Adelchi\", role = c(\"aut\")),\nperson(\"Rosolin\", \"Tiziana\", role = c(\"ctb\"), comment = \"up to version 0.1-13\")\n)",
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  "Description": "Cluster analysis via nonparametric density estimation is\nperformed. Operationally, the kernel method is used throughout\nto estimate the density. Diagnostics methods for evaluating the\nquality of the clustering are available. The package includes\nalso a routine to estimate the probability density function\nobtained by the kernel method, given a set of data with\narbitrary dimensions.",
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  "Encoding": "UTF-8",
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  "Author": "Menardi Giovanna [aut, cre], Azzalini Adelchi [aut], Rosolin\nTiziana [ctb] (up to version 0.1-13)",
  "Repository": "https://cran.r-universe.dev",
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        "region",
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        "palmitoleic",
        "stearic",
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        "linolenic",
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        "eicosenoic"
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        "Alcohol",
        "Malic",
        "Ash",
        "Alcalinity",
        "Magnesium",
        "Phenols",
        "Flavanoids",
        "Nonflavanoid",
        "Proanthocyanins",
        "Color",
        "Hue",
        "OD280.OD315Dilution",
        "Proline"
      ],
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      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "pdfCluster-package",
      "title": "The pdfCluster package: summary information",
      "topics": [
        "pdfCluster-package"
      ]
    },
    {
      "page": "adj.rand.index",
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