_site.yml

name: "MAP573 - Data Analysis and Unsupervised Learning"
output_dir: "public"
output:
  html_document:
    theme: yeti
    highlight: tango
    css: resources/style.css
    toc: true
    toc_depth: 3
    toc_float:
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    includes:
      in_header: resources/hideOutput.script
mathjax: "http://example.com/MathJax.js"
exclude: ["slides", "Homework", "labs", "MAP573tutorials", "README"]
navbar:
  title: "MAP573"
  left:
    - text: ""
      icon: fa-github
      href: https://github.com/jchiquet/CourseUnsupervisedLearningX
    - text: "Moodle"
      icon: fa-server
      href: https://moodle.polytechnique.fr/enrol/index.php?id=9404
  right:
    - text: "Setup"
      href: instructions.html
      icon: fas fa-gear
    - text: "Lectures/Slides"
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      menu:
        - text: "General introduction"
          href: resources/introMAP573.pdf
        - text: "------------------"
        - text: "An introduction to R"
          href: https://github.com/jchiquet/CourseAdvancedR/raw/master/2020_MAP573/R_intro.pdf
        - text: "Manipulation, representation: a Tour of the tidyverse"
          href: https://github.com/jchiquet/CourseAdvancedR/raw/master/2020_MAP573/R_intro_tidyverse.pdf
        - text: "------------------"
        - text: "Dimensionality Reduction"
        - text: "Linear methods: PCA"
          href: resources/DimensionReductionPCA.pdf
        - text: "Non linear methods: MDS, Kernel PCA, t-SNE and others"
          href: resources/DimensionReductionNonLinear.pdf
        - text: "------------------"
        - text: "Clustering"
        - text: "Distance/Similarity-based: HAC, k-means, Spectral clustering"
          href: resources/Clustering.pdf
        - text: "Model-based clustering: Gaussian mixture model and EM"
          href: resources/ClusteringModelBased.pdf
    - text: "Tutorials"
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      menu:
        - text: "R tutorials"
          href: tutorials_R.html
        - text: "PCA"
          href: tutorial_PCA_correction.html
        - text: "MDS, kernel-PCA"
          href: tutorial_nonlinear_dim_reduction_methods_cor.html
        - text: "Clustering"
          href: tutorial_clustering.html
        - text: "GGM and EM"
          href: tutorial_mixtureModelsEM.html
    - text: "Homework"
      icon: fas fa-keyboard
      menu:
        - text: "#1: Swirl, Rmarkdown, R basics - correction"
          href: homework_1_reporting_correction.html
        - text: "#2: Data manipulation and representation - correction"
          href: homework_2_data_manipulation_representation_correction.html
        - text: "#3: Data analysis with PCA - correction"
          href: homework_3_PCA_correction.html
        - text: "#4: Non-linear dimension reduction method"
          href: homework_4_dim_reduc_non_linear.html
        - text: "#5: Spectral Clustering for graphs"
          href: homework_5_GraphPartitioning_correction.html
        - text: "#6: The Stochastic Block Model"
          href: homework_6_SBM.html
    - text: "Projects"
      href: Projects.html
      icon: fas fa-chart-bar