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  "Title": "The FisherEM Algorithm to Simultaneously Cluster and Visualize\nHigh-Dimensional Data",
  "Version": "1.6",
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  "Author": "Charles Bouveyron, Camille Brunet & Nicolas Jouvin.",
  "Maintainer": "Charles Bouveyron <charles.bouveyron@gmail.com>",
  "Description": "The FisherEM algorithm, proposed by Bouveyron & Brunet\n(2012) <doi:10.1007/s11222-011-9249-9>, is an efficient method\nfor the clustering of high-dimensional data. FisherEM models\nand clusters the data in a discriminative and low-dimensional\nlatent subspace. It also provides a low-dimensional\nrepresentation of the clustered data. A sparse version of\nFisher-EM algorithm is also provided.",
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    {
      "page": "FisherEM-package",
      "title": "The FisherEM Algorithm to Simultaneously Cluster and Visualize High-Dimensional Data",
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        "FisherEM-package",
        "FisherEM"
      ]
    },
    {
      "page": "bfem",
      "title": "The Bayesian Fisher-EM algorithm.",
      "topics": [
        "bfem"
      ]
    },
    {
      "page": "fem",
      "title": "The Fisher-EM algorithm",
      "topics": [
        "fem"
      ]
    },
    {
      "page": "fem.ari",
      "title": "Adjusted Rand index",
      "topics": [
        "fem.ari"
      ]
    },
    {
      "page": "plot.bfem",
      "title": "Plotting function",
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        "plot.bfem",
        "plot_bound",
        "plot_crit",
        "plot_subspace"
      ]
    },
    {
      "page": "plot.fem",
      "title": "The plot function for 'fem' objects.",
      "topics": [
        "plot.fem"
      ]
    },
    {
      "page": "print.fem",
      "title": "The print function for 'fem' objects.",
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        "print.fem"
      ]
    },
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      "page": "sfem",
      "title": "The sparse Fisher-EM algorithm",
      "topics": [
        "sfem"
      ]
    },
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      "title": "Experimental setting of the chapter BFEM",
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