Index of Concepts

• A

  • agglomerative clustering (agglomerative-clustering)
  • array (array)

• B

  • backward selection (backward-selection-model)
  • backward stepwise selection (backward-stepwise-selection)
  • binary classifier (binary-classifier)
  • boolean (boolean)

• C

  • CART (cart)
  • classification model (classification-model)
  • classification tree (classification-tree)
  • clustering model (clustering-model)
  • clusters (clustering-model-clusters)
  • column (column)
  • complex number (complex)
  • correspondence analysis (correspondence-analysis)
  • Cubist model (cubist)
  • coefficients (exponential-family-linear-model-coefficients)
  • coefficients (glm-coefficients)
  • centroids (k-means-centroids)
  • components (linear-dimension-reduction-model-components)
  • coefficients (linear-model-coefficients)
  • coefficients (linear-svm-coefficients)
  • column names (table-column-names)

• D

  • data (data)
  • decision tree (decision-tree)
  • design matrix (design-matrix)
  • dimensionality reduction (dimension-reduction-model)
  • discriminant function (discriminant-function)
  • divisive clustering (divisive-clustering)
  • dummy coding (dummy-coding)
  • deviance (glm-deviance)
  • database (sql-query-database)
  • database (sql-table-database)
  • dual coefficients (svm-dual-coefficients)

• E

  • Euclidean model (euclidean-model)
  • evaluate formula for supervised model (evaluate-formula-supervised)
  • Excel spreadsheet (excel-spreadsheet)
  • exponential family linear model (exponential-family-linear-model)
  • expression (expression)

• F

  • feature extraction (feature-extraction)
  • feature extraction model (feature-extraction-model)
  • feature selection (feature-selection-model)
  • file (file)
  • filename (filename)
  • fit model (fit)
  • fit supervised model (fit-supervised)
  • forward selection (forward-selection-model)
  • forward stagewise selection (forward-stagewise-selection)
  • forward stepwise selection (forward-stepwise-selection)

• G

  • generalized linear model (glm)

• H

  • hierarchical clustering (hierarchical-clustering)

• I

  • intercept (exponential-family-linear-model-intercept)
  • incrementally select features for supervised model (fit-incremental-selection-supervised)
  • intercept (glm-intercept)
  • ICA (ica)
  • incremental feature selection (incremental-selection-model)
  • integer (integer)
  • intercept (linear-model-intercept)
  • intercept (linear-svm-intercept)

• K

  • k-means clustering (k-means)
  • kernelized (k-means-kernelized)
  • k-medoids clustering (k-medoids)
  • kernel k-means clustering (kernel-k-means)
  • kernel model (kernel-model)
  • kernel PCA (kernel-pca)
  • kernelized (kernelized)
  • kernelized (linear-svm-classification-kernelized)
  • kernelized (linear-svm-kernelized)
  • kernelized (linear-svm-regression-kernelized)
  • kernelized (pca-kernelized)

• L

  • linkage matrix (hierarchical-clustering-linkage)
  • lasso (lasso)
  • linear dimensionality reduction (linear-dimension-reduction-model)
  • linear discriminant analysis (LDA) (linear-discriminant-analysis)
  • linear model (linear-model)
  • linear regression (linear-regression)
  • linear support vector machine (linear-svm)
  • linear support vector classification (linear-svm-classification)
  • linear support vector regression (linear-svm-regression)
  • logistic regression (logistic-regression)
  • length (vector-length)

• M

  • medoids (k-medoids-medoids)
  • M5 model tree (m5-tree)
  • matrix (matrix)
  • mean absolute error (mean-absolute-error)
  • mean squared error (mean-squared-error)
  • multiclass classifier (multiclass-classifier)
  • multinomial logistic regression (multinomial-logistic-regression)
  • multiple correspondence analysis (multiple-correspondence-analysis)
  • model selection (selection-model)

• N

  • number of dimensions (array-n-dimensions)
  • number of clusters (clustering-model-n-clusters)
  • name (column-name)
  • number of dimensions (dimension-reduction-model-n-dimensions)
  • number of classes (multiclass-classifier-model-n-classes)
  • number (number)
  • name (r-dataset-name)
  • number of features to sample (random-forest-n-features)
  • number of columns (table-n-cols)
  • number of rows (table-n-rows)
  • number of trees (tree-ensemble-n-trees)

• O

  • OLS linear regression (least-squares)

• P

  • PCA (pca)
  • predict (predict)

• Q

  • query expression (sql-query-expression)

• R

  • RSS (linear-model-rss)
  • R dataset (r-dataset)
  • R package (r-dataset-package)
  • random forest (random-forest)
  • read data (read-data)
  • read file (read-file)
  • read table (read-table)
  • read tabular file (read-tabular-file)
  • real number (real)
  • regression model (regression-model)
  • regression tree (regression-tree)

• S

  • shape (array-shape)
  • source of data (data-source)
  • sheet name (excel-spreadsheet-name)
  • selected features (feature-selection-model-selected)
  • statistical model (model)
  • scalar quantity (scalar)
  • selected model (selection-model-selected)
  • simple correspondence analysis (simple-correspondence-analysis)
  • SQL database (sql-database)
  • SQL query (sql-query)
  • SQL table (sql-table)
  • string (string)
  • supervised model (supervised-model)
  • support vector machine (svm)
  • support vector classification (svm-classification)
  • support vector regression (svm-regression)
  • support vectors (svm-support-vectors)
  • selected model (vif-regression-selected)

• T

  • tree by index (cubist-tree)
  • table name (sql-table-name)
  • table (table)
  • tabular data source (tabular-data-source)
  • tabular file (tabular-file)
  • transform (transform)
  • transformation model (transformation-model)
  • transformer (transformer)
  • tree-based model (tree-based-model)
  • tree ensemble (tree-ensemble)
  • tree by index (tree-ensemble-tree)

• U

  • use multiclass classifier for binary classification (as-binary-classifier)
  • use multinomial logistic regression for logistic regression (as-logistic-regression)
  • unsupervised model (unsupervised-model)

• V

  • vector (vector)
  • VIF regression (vif-regression)

• W

  • write data (write-data)
  • write file (write-file)
  • write table (write-table)
  • write tabular file (write-tabular-file)