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Index

(A full index to the course appears at the end of Week 1.)

Topic   Step
Datasets cpu 3.13
  diabetes 3.9, 3.12, 3.13
  Functional MRI data 3.16, 3.17
  glass 3.13
  Haxby_Subj1_Training 3.17
  ionosphere 3.13
  iris 3.4, 3.5, 3.10, 3.11, 3.13, 3.14, 3.15
  NIFTI_Files 3.17
  Structural MRI data 3.16
Classifiers J48 3.17
  LibLINEAR 3.2
  LibSVM 3.2, 3.4, 3.5
  Logistic 3.13
  M5P 3.13
  MLRClassifier 3.12, 3.13
  NaiveBayes 3.4, 3.14, 3.15, 3.17
  OneR 3.17
  RandomForest 3.13
  SMO 3.2, 3.17
  SMOreg 3.2
  ZeroR 3.17
R classifiers multinom 3.13
  randomForest 3.13
  regr.earth 3.13
  regr.mob 3.13
  rFerns 3.12
  rpart 3.12
Metalearners ClassificationViaRegression 3.13
  FilteredClassifier 3.13, 3.17
  GridSearch 3.2
  OneClassClassifier 3.4, 3.5
Filters Add 3.4
  PartitionMembership 3.17
  RemoveUseless 3.17
  ReplaceMissingWithUserConstant 3.4
  Standardize 3.13
Packages gridSearch 3.2
  LibLINEAR 3.1, 3.2
  LibSVM 3.1, 3.2
  niftiLoader 3.17
  oneClassClassifier 3.4
  RPlugin 3.7
R libraries analogue 3.14
  fastICA 3.14
  ggplot2 3.10, 3.11
  kernlab 3.15
  lle 3.14
  mlbench 3.12, 3.13
  MLR 3.12, 3.13
Generators LED24 (Weka) 3.2
  MexicanHat 3.13
KnowledgeFlow components ArffLoader 3.14, 3.15
  ClassAssigner 3.14, 3.15
  ClassifierPerformanceEvaluator 3.14, 3.15
  CrossValidationFoldMaker 3.14, 3.15
  RScriptExecutor 3.14, 3.15
  ScatterPlotMatrix 3.14
  TextViewer 3.14, 3.15
R commands install.packages 3.7
  boxplot, cor, cov, hist, install_packages, IQR, kurtosis, library, quantile, sapply, sd, skewness, summary, table 3.9
  aes, dev.off, facet_grid, geom_density, ggplot, install_packages, library, melt, PDF, xlim 3.10
  aes. C, facet_grid, geom_bin2d, geom_density, geom_density2d, geom_freqpoly, geom_histogram, geom_point, ggplot, install_packages, library, scale_fill_gradient, stat_density2d, stat_smooth, xlim, ylim 3.11
  cbind, data_frame, fastICA, library, ncol 3.14
  chind, cmdscale, install_packages, data.frame, fastICA, library, lle, mlbench.2dnormals, ncol, prcurve 3.15
Plus Attention deficit hyperactivity disorder (ADHD) 3.16
  Environment variable 3.7
  One-class classification 3.3, 3.4, 3.5
  R (statistical language) 3.6–3.15
  Radial basis function (RBF) kernel 3.2

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Advanced Data Mining with Weka

The University of Waikato

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