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"Title": "R Toolbox for Unsupervised Spectral Clustering",
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"Date": "2021-08-20",
"Authors@R": "c(person(given=\"Emilie\", family=\"Poisson-Caillault\", role = c(\"aut\",\"cre\",\"cph\"), \nemail = \"emilie.caillault@univ-littoral.fr\" ),\nperson(given=\"Alain\",family=\"Lefebvre\",role=c(\"ctb\"),\nemail = \"Alain.Lefebvre@ifremer.fr\"),\nperson(given=\"Erwan\", family=\"Vincent\", role = c(\"aut\")),\nperson(given=\"Pierre-Alexandre\", family=\"Hebert\", role = c(\"ctb\")))",
"Author": "Emilie Poisson-Caillault [aut, cre, cph], Alain Lefebvre [ctb],\nErwan Vincent [aut], Pierre-Alexandre Hebert [ctb]",
"Description": "Toolbox containing a variety of spectral clustering tools\nfunctions. Among the tools available are the hierarchical\nspectral clustering algorithm, the Shi and Malik clustering\nalgorithm, the Perona and Freeman algorithm, the non-normalized\nclustering, the Von Luxburg algorithm, the Partition Around\nMedoids clustering algorithm, a multi-level clustering\nalgorithm, recursive clustering and the fast method for all\nclustering algorithm. As well as other tools needed to run\nthese algorithms or useful for unsupervised spectral\nclustering. This toolbox aims to gather the main tools for\nunsupervised spectral classification. See\n for more information and\ndocumentation.",
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{
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{
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{
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{
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"title": "Hierarchical Clustering",
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"title": "Hierarchical Spectral Clustering",
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{
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"title": "Data quantization",
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{
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{
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"title": "Bi-parted Spectral Clustering. Peronna and Freeman.",
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{
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"topics": [
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{
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{
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"title": "Bi-parted Spectral Clustering. Shi and Malik.",
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{
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{
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"title": "Unormalized Spectral Clustering Ng.",
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{
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"title": "Spectral Clustering based on the Von Luxburg algorithm",
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